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Careers at Zscaler

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zscaler.comHQ: San Jose, CA, USCEO: Jagtar Singh Chaudhry8700 employees

Globally recognized, Zscaler, Inc. functions as a leading provider of cloud-based security solutions. Its core offerings include Zscaler Internet Access (ZIA), which ensures secure connectivity for a diverse range of entities – including users, servers, operational technology (OT), and IoT devices – when accessing external resources like software-as-a-service (SaaS) applications and general internet destinations. Complementing this, the Zscaler Private Access (ZPA) solution facilitates secure entry to internal applications residing in private or public clouds and traditional data centers. Zscaler also delivers Zscaler Digital Experience (ZDX), a tool that assesses the complete user journey across various business applications. ZDX then generates a clear, digestible digital experience score for individual users, specific applications, and different locations within an organization. Furthermore, the company's portfolio extends to advanced workload segmentation solutions. This category includes Zscaler Cloud Security Posture Management (CSPM), designed to identify and correct application misconfigurations across SaaS, IaaS, and PaaS environments, thereby minimizing risk and upholding compliance standards. Another key offering is Zscaler Cloud Workload Segmentation, specifically engineered to fortify application-to-application communication within public clouds and data centers. Its objective is to thwart lateral threat propagation, safeguard applications from compromise, and ultimately mitigate the potential for data breaches. The underlying platform is built upon integral components such as the Zscaler Central Authority, Zscaler Enforcement Nodes, and Zscaler Log Servers. Serving a diverse global clientele, Zscaler caters to numerous sectors including aviation and transportation, conglomerates, consumer goods and retail, financial services, healthcare, manufacturing, media and communications, public sector and education, as well as technology and telecommunications. Founded in 2007, the company initially operated as SafeChannel, Inc., before rebranding to Zscaler, Inc. in August 2008. Its corporate headquarters are located in San Jose, California.

Sector:Software Infrastructure

All Openings (94)

Ordered by most recently published

Staff Software Development Engineer

On-sitefull timeLead / StaffSan Jose, United States
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are seeking an exceptional and technically grounded Senior Manager, Software Development Engineering to lead our core Data Loss Prevention (DLP) engineering team within the Zero Trust Exchange department. Based in San Jose, CA, and reporting to the Senior Director, Software Development Engineering, you will lead the architecture, design, and delivery of high-throughput, low-latency DLP engines, dictionary matching systems, and intelligent content inspection pipelines running in C across FreeBSD and Linux environments. In this role, you will balance strategic leadership with deep systems rigor, bridging deterministic inspection mechanisms with next-generation Named Entity Recognition (NER) and ML models while navigating real-time inline performance trade-offs. What you'll do (Role Expectations) Manage, mentor, and grow a world-class team of systems software engineers and principal architects responsible for high-performance DLP engines, dictionary compilers, and distributed incident processing pipelines Own the technical direction and engineering execution for line-rate pattern matching, regular expression evaluators, custom dictionary compilers, exact data match (EDM), and indexed document matching (IDM) running in production proxy runtimes Guide the evaluation, operationalization, and performance boundary testing of Named Entity Recognition (NER) and ML models, balancing inspection accuracy and tokenization against strict network latency, compute complexity, and memory footprints Maintain exacting standards for multi-threaded C daemons on FreeBSD/Linux, architecting robust shared memory structures, high-performance Inter-Process Communication (IPC), lockless concurrency, and memory-safe subsystems Serve as the technical escalation authority for critical production issues—championing post-mortem core dump analysis, system profiling, and leak detection—while overseeing scalable DLP incident streaming, forensic logging, and enterprise SIEM/SOAR integrations Who You Are (Success Profile) You act like an owner, bringing a deep passion for the mission and a strong bias for action that allows you to seamlessly transition between high-level strategy and hands-on execution. You are a natural problem-solver who is energized by finding solutions to complex technical challenges, knowing that solving the hardest problems yields the greatest impact. You are a high-trust collaborator who champions transparency, embraces constructive feedback, and prioritizes team success to build deep, respectful partnerships. You think at scale, always connecting engineering efforts to the broader company mission and designing systems, processes, and teams built to sustain a high-growth, global organization. You are resilient and adaptable, maintaining absolute focus in high-pressure environments and guiding your team through technical complexity with a steady, positive hand. What We're Looking for (Minimum Qualifications) Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving 8+ years of experience with systems software engineering including 2+ years of leadership experience building and managing high-performing software teams, combined with a practical understanding of Named Entity Recognition (NER) models and their runtime limitations in high-throughput data paths Advanced hands-on proficiency in C programming on Linux or FreeBSD runtime environments, with deep architectural expertise in Inter-Process Communication (IPC), shared memory architectures, and POSIX concurrency primitives Expert-level proficiency in production troubleshooting and root-cause analysis, including post-mortem core dump analysis, GDB/LLDB debugging, Valgrind, and system-level performance tracing (eBPF or DTrace) Deep technical domain expertise in Data Loss Prevention (DLP) technologies, including regex evaluation engines, dictionary compilers, EDM/IDM profiles, and end-to-end incident streaming and forensics pipelines What Will Make You Stand Out (Preferred Qualifications) Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency Experience porting, profiling, or optimizing AI/ML inference workloads, such as ONNX Runtime, TensorRT, or custom quantized NER models Hands-on background developing inline network proxies, deep packet inspection (DPI) engines, AVX instructions, or Hyperscan Direct experience with FreeBSD kernel internals (jails, network stack, VFS/ZFS), alongside a track record of driving automated regression testing and CI/CD pipelines for distributed systems #LI-DY1 #SanJose Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $212,000 — $265,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

View more...
Software EngineeringVia Greenhouse
Verified4 days ago

Staff Software Applications Engineer

On-sitefull timeLead / StaffBengaluru, India
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role As a Staff Software Engineer, Finance Integrations within Zscaler’s IT organization (reporting to the Manager, Integrations), you will lead the design and delivery of scalable integration and automation solutions supporting Finance transformation. In this role, you will partner closely with Finance stakeholders to modernize processes, reduce spreadsheet dependencies, improve data flow across systems, and deliver intelligent automation using APIs, middleware, RPA, and AI technologies. You will act as a key technical driver working across cross-functional groups to deliver measurable business outcomes. What You’ll Do (Role Expectations) Design, build, and maintain scalable enterprise integrations using APIs, middleware, event-driven architectures, and sound enterprise architecture principles Partner with Finance stakeholders to translate business requirements into intelligent automation solutions utilizing AI/ML, generative AI, AI agents, workflow tools, and RPA Eliminate manual spreadsheet dependencies and improve data integrity across finance workflows with sustainable, scalable system-based architectures Embed cybersecurity best practices into code and partner with Finance, Internal Audit, and InfoSec to satisfy SOX, audit, and internal control requirements Execute rigorous engineering standards—including clean code, defensive programming, unit/integration testing, QA automation, UAT support, and continuous bug remediation Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose What We’re Looking For (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 8+ years of experience in software engineering, integrations, or enterprise applications Strong finance systems background with hands-on experience supporting and modernizing finance business processes Deep expertise in APIs, middleware, event-driven architectures, and enterprise integration patterns Proven experience delivering AI, automation, or intelligent process transformation solutions Solid understanding of SOX, audit, cybersecurity awareness, and internal controls in an enterprise environment What Will Make You Stand Out (Preferred Qualifications) Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency. Hands-on experience with key systems such as NetSuite, Workday, FloQast, and Workiva Proven track record implementing integrations via Workato, UiPath, and MCP integrations Experience leveraging advanced AI models and technologies, such as Gemini, to augment business process automation #LIHybrid #LINT1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

View more...
Software EngineeringVia Greenhouse
Verified4 days ago

Staff Information Systems Engineer

On-sitefull timeLead / StaffBengaluru, India
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are hiring an experienced Google Workspace Administrator/Architect to join our Bangalore IT team in a hybrid capacity. Reporting to the Director of Business Applications Support, this role is responsible for end-to-end administration, design, implementation, and support of our Google Workspace platform, with a focus on enhancing team productivity, collaboration, employee experience, and driving the strategic adoption of AI tools like Google Gemini company-wide. What You’ll Do (Role Expectations) Lead the design, implementation, and long-term strategic vision for enterprise Google Workspace tools (Gmail, Drive, Meet, Calendar, Docs) and integrated generative AI capabilities (Google Gemini). Champion and drive the rollout, administration, governance, and organizational adoption of Google Gemini Enterprise capabilities across all Workspace applications. Develop automation scripts using Google Apps Script, Google Apps Manager (GAM), and APIs to optimize group management, administrative workflows, and AI-enabled automations. Configure SAML-based SSO and SCIM provisioning/deprovisioning for seamless, automated user lifecycle management and role-based access control. Implement robust security policies, compliance standards, Data Loss Prevention (DLP), AI governance frameworks, and Mobile Device Management (MDM) solutions to secure corporate data across endpoints. Resolve complex technical escalations, partner with Google/third-party vendors, deliver end-user training on Workspace and Gemini productivity enhancements, and analyze performance metrics to continuously improve collaboration. Who You Are (Success Profile) Thrives in Ambiguity: You are comfortable building the path as you walk it, viewing dynamic environments and emerging technologies like Generative AI as raw material to build something meaningful. Acts Like an Owner: You possess a strong bias for action, operating with integrity and balancing high-level strategy with hands-on execution. Laser-Focused Problem-Solver: You love running toward technical challenges, focused on finding innovative solutions and AI-driven efficiencies that deliver maximum organizational impact. High-Trust Collaborator: You are ambitious for the team, fostering a culture of trust through ongoing, clear, and respectful feedback. Dedicated Learner: You hold a true growth mindset, actively exploring cutting-edge AI capabilities and seeking feedback to continuously refine your skills and support your team. What We’re Looking For (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain. 10+ years of experience administering and managing enterprise-grade Google Workspace environments. Practical experience configuring, managing, or piloting Google Gemini for Workspace and implementing enterprise AI security and usage policies. Deep proficiency with Google Admin Console, Google Vault, Google Apps Script, GAM, and API integrations. Practical experience configuring SAML for SSO and SCIM for user lifecycle management. Proven track record implementing Mobile Device Management (MDM) policies and device compliance controls. What Will Make You Stand Out (Preferred Qualifications) Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency. Master’s degree in Information Technology, Computer Science, or a related field. Google Workspace Administrator Certification. Google Cloud Professional Collaboration Engineer certification or specialized credentials in Google Cloud AI / Gemini. Demonstrated track record of leading company-wide Gemini/AI onboarding programs, user training, and productivity initiatives. #LI-Hybrid #LI-NT1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

View more...
Cloud, DevOps & SREVia Greenhouse
Verified4 days ago

Senior Staff Platform Engineer

On-sitefull timeLead / StaffBengaluru, India
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff AI Platform Engineer to join our team. This is an On-site role based in Bangalore/Pune, reporting to the Senior Manager in the IT Data Strategy department. In this position, you will design, scale, and maintain enterprise cloud infrastructure and platform capabilities to support production AI/ML workloads. Operating within the IT Data Strategy team, you will drive infrastructure automation, observability, and platform governance while empowering AI and data engineering teams to deliver high-impact solutions reliably and securely. What you’ll do (Role Expectations) Design, build, and maintain scalable, secure, and highly available AWS infrastructure (EKS, Lambda, ECS, VPC, IAM) for AI/ML workloads using Terraform, following IaC best practices including reusable modules, remote state management, and environment-based blueprints Own and continuously evolve GitLab CI/CD pipelines for AI platform services, automating build, test, security scanning, and multi-environment deployment workflows to enable fast, reliable, and repeatable releases Architect a centralized observability stack using Prometheus and Grafana with golden-signal dashboards across AI/ML services and infrastructure, design intelligent alerting strategies (Alertmanager, PagerDuty, OpsGenie), and lead incident response, root-cause analysis, and postmortems to improve MTTA/MTTR Define and track DORA metrics to drive delivery and reliability improvements, while building self-healing, auto-scaling, and cost-optimized infrastructure for AI/ML services (LLM inference, vector databases, agent frameworks) on Kubernetes (EKS) Implement infrastructure security best practices, establish platform governance standards, partner with AI/ML and data engineering teams on production-grade AI/RAG deployments, and mentor junior/mid-level engineers through design and code reviews Who You Are (Success Profile) You act like an owner with a passion for the mission, operating with integrity and navigating seamlessly between high-level platform strategy and hands-on execution. You are a high-trust collaborator who is ambitious for the overall team, fostering an open feedback culture delivered with clarity and respect to build lasting trust. You are driven by innovation and deep technical curiosity, continuously seeking secure, scalable, and modern solutions to complex platform engineering challenges. You champion simplicity by distilling complex technical architecture, user needs, and operational concepts into clear, actionable plans and focused communication. You are data-driven, leveraging analytics and measurable metrics to guide informed engineering decisions, evaluate truth, and optimize reliability. What We’re Looking for (Minimum Qualifications) Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving 8+ years of experience as a Platform Engineer / Site Reliability Engineer / DevOps Engineer, including 3+ years supporting AI/ML or data platform infrastructure, with deep hands-on expertise in AWS (EKS, Lambda, ECS, VPC, IAM, S3) Strong hands-on experience with Infrastructure as Code using Terraform (modules, workspaces, remote state) and designing/maintaining CI/CD pipelines with GitLab CI/CD (or equivalent), including runners and deployment automation Proven expertise in centralized observability using Prometheus and Grafana (custom exporters, dashboard design, alerting rules), along with experience designing and tuning alerting/on-call systems (Alertmanager, PagerDuty, OpsGenie) and owning incident response for production services Solid, hands-on understanding of DevOps/DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR) and how to use them to drive engineering improvement Experience deploying and operating containerized applications on Kubernetes (EKS), including Helm charts and autoscaling (HPA, Cluster Autoscaler, Karpenter), combined with strong scripting skills in Python (and/or Go/Bash) and the ability to work independently and lead complex infrastructure initiatives with excellent communication skills befitting a Staff-level engineer What Will Make You Stand Out (Preferred Qualifications) Experience with LiteLLM (including multi-geo/multi-region deployment patterns), distributed compute frameworks like Ray.io/Anyscale, workflow engines like Temporal, and agentic frameworks such as LangGraph, LangChain, or LlamaIndex Working knowledge of vector database platforms (Qdrant, Pinecone, Weaviate), memory/context layers like ZEP, LLMOps/MLOps frameworks and practices (model registry, prompt versioning, feedback loops, MLflow/Kubeflow), and LLM observability/evaluation tooling such as Arize Phoenix Exposure to GitOps workflows (ArgoCD/Flux), log aggregation and distributed tracing (Loki, ELK/OpenSearch, Jaeger/Tempo), cloud cost optimization (FinOps), and security/compliance frameworks (SOC 2, ISO 27001) in cloud-native environments #LI-RR1 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

View more...
Cloud, DevOps & SREVia Greenhouse
Verified4 days ago

Senior Staff Platform Engineer

On-sitefull timeLead / StaffPune, India
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff AI Platform Engineer to join our team. This is an On-site role based in Bangalore/Pune, reporting to the Senior Manager in the IT Data Strategy department. In this position, you will design, scale, and maintain enterprise cloud infrastructure and platform capabilities to support production AI/ML workloads. Operating within the IT Data Strategy team, you will drive infrastructure automation, observability, and platform governance while empowering AI and data engineering teams to deliver high-impact solutions reliably and securely. What you’ll do (Role Expectations) Design, build, and maintain scalable, secure, and highly available AWS infrastructure (EKS, Lambda, ECS, VPC, IAM) for AI/ML workloads using Terraform, following IaC best practices including reusable modules, remote state management, and environment-based blueprints Own and continuously evolve GitLab CI/CD pipelines for AI platform services, automating build, test, security scanning, and multi-environment deployment workflows to enable fast, reliable, and repeatable releases Architect a centralized observability stack using Prometheus and Grafana with golden-signal dashboards across AI/ML services and infrastructure, design intelligent alerting strategies (Alertmanager, PagerDuty, OpsGenie), and lead incident response, root-cause analysis, and postmortems to improve MTTA/MTTR Define and track DORA metrics to drive delivery and reliability improvements, while building self-healing, auto-scaling, and cost-optimized infrastructure for AI/ML services (LLM inference, vector databases, agent frameworks) on Kubernetes (EKS) Implement infrastructure security best practices, establish platform governance standards, partner with AI/ML and data engineering teams on production-grade AI/RAG deployments, and mentor junior/mid-level engineers through design and code reviews Who You Are (Success Profile) You act like an owner with a passion for the mission, operating with integrity and navigating seamlessly between high-level platform strategy and hands-on execution. You are a high-trust collaborator who is ambitious for the overall team, fostering an open feedback culture delivered with clarity and respect to build lasting trust. You are driven by innovation and deep technical curiosity, continuously seeking secure, scalable, and modern solutions to complex platform engineering challenges. You champion simplicity by distilling complex technical architecture, user needs, and operational concepts into clear, actionable plans and focused communication. You are data-driven, leveraging analytics and measurable metrics to guide informed engineering decisions, evaluate truth, and optimize reliability. What We’re Looking for (Minimum Qualifications) Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving 8+ years of experience as a Platform Engineer / Site Reliability Engineer / DevOps Engineer, including 3+ years supporting AI/ML or data platform infrastructure, with deep hands-on expertise in AWS (EKS, Lambda, ECS, VPC, IAM, S3) Strong hands-on experience with Infrastructure as Code using Terraform (modules, workspaces, remote state) and designing/maintaining CI/CD pipelines with GitLab CI/CD (or equivalent), including runners and deployment automation Proven expertise in centralized observability using Prometheus and Grafana (custom exporters, dashboard design, alerting rules), along with experience designing and tuning alerting/on-call systems (Alertmanager, PagerDuty, OpsGenie) and owning incident response for production services Solid, hands-on understanding of DevOps/DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR) and how to use them to drive engineering improvement Experience deploying and operating containerized applications on Kubernetes (EKS), including Helm charts and autoscaling (HPA, Cluster Autoscaler, Karpenter), combined with strong scripting skills in Python (and/or Go/Bash) and the ability to work independently and lead complex infrastructure initiatives with excellent communication skills befitting a Staff-level engineer What Will Make You Stand Out (Preferred Qualifications) Experience with LiteLLM (including multi-geo/multi-region deployment patterns), distributed compute frameworks like Ray.io/Anyscale, workflow engines like Temporal, and agentic frameworks such as LangGraph, LangChain, or LlamaIndex Working knowledge of vector database platforms (Qdrant, Pinecone, Weaviate), memory/context layers like ZEP, LLMOps/MLOps frameworks and practices (model registry, prompt versioning, feedback loops, MLflow/Kubeflow), and LLM observability/evaluation tooling such as Arize Phoenix Exposure to GitOps workflows (ArgoCD/Flux), log aggregation and distributed tracing (Loki, ELK/OpenSearch, Jaeger/Tempo), cloud cost optimization (FinOps), and security/compliance frameworks (SOC 2, ISO 27001) in cloud-native environments #LI-RR1 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Cloud, DevOps & SREVia Greenhouse
Verified4 days ago

Deputy Manager, AI & Platform Engineer

On-sitefull timeMid-LevelWorldwide (On-site)
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Deputy Manager, AI & Platform Engineer to join our team. This is a Hybrid role in Mohali, reporting to the Senior Manager – Analytics & Insights in the FP&A department. As Deputy Manager, you will be the technical owner and architect for next-generation Finance AI Platform - building a secure, extensible internal platform that powers Finance dashboards, workflows, and AI-assisted insights. What you’ll do (Role Expectations) Architect, build, and own the production-grade AI Platform supporting multiple Finance modules, executive dashboards, and interactive workflows Implement enterprise-grade security, Okta SSO, RBAC mapping, and clean backend API service boundaries for seamless extensibility Manage governed data-serving pipelines, schema design, and caching strategies (API query and semantic caching) to ensure high performance and data fallback reliability Integrate AI assistants via internal LLM gateways and build modular skills & services grounded in Finance context Drive CI/CD release automation via GitLab pipelines while maintaining end-to-end production operations, monitoring, incident response, and system reliability Who You Are (Success Profile) You are a pragmatic builder with a passion for creating, iterating, and shipping scalable tools that deliver immediate value to users. You are driven by technical innovation and energized by leveraging modern AI technologies to solve complex platform challenges. You are an active problem-solver who enjoys navigating complex data environments to build reliable, high-impact solutions. You act like an owner by balancing strategic architectural vision with hands-on technical execution. You are a high-trust collaborator who builds strong cross-functional partnerships and communicates complex technical concepts with clarity. What We’re Looking for (Minimum Qualifications) Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving 5–8 years building and operating production systems across data, backend, and platform engineering Strong Python (FastAPI/services, pipelines) and SQL (Snowflake/PostgreSQL) expertise Strong AWS fundamentals (VPC/IAM/EC2, security basics) and experience with CI/CD deployment pipelines Experience with authentication and SSO patterns Experience with containerization (Docker) and modern deployment practices What Will Make You Stand Out (Preferred Qualifications) Hands-on experience with LLM integrations, including OpenAI-compatible APIs, RAG architectures, semantic caching, and prompt/context management Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency Expertise with Snowflake and dbt modeling, standards, testing, CI/CD, Redis caching patterns, and observability best practices Proven track record building internal data applications with React or Streamlit #LI-Hybrid #LI-HG1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Cloud, DevOps & SREVia Greenhouse
Verified4 days ago

Architect, Software Development (Layer 7 Security & Proxy)

On-sitefull timeLead / StaffSan Jose, United States
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Architect, Software Development (Layer 7 Security & Proxy) to join our team. This is a hybrid role (minimum 3 days a week in Santa Clara, CA office), reporting to the Director, Software Development Engineering in the Zero Trust Exchange department. This architect role is essential to provide technical leadership for the ZIA proxy architecture, with a strong focus on advanced Layer 7 protocols and SSL inspection. You will help improve the quality of code shipped to production by driving sound architectural decisions, implementing innovative solutions, and raising the overall engineering bar for the team. Additionally, you will play a key role in modernizing the ZIA code base by addressing technical debt, fixing existing issues, and rewriting components where necessary. Ultimately, this role is critical for supporting and accelerating the delivery of key proxy roadmap features on a strong and scalable foundation. What You’ll Do (Role Expectations) Support end-to-end QUIC/HTTP/3 and HTTP/2 proxy and TLS/SSL architecture in ZIA Define and evolve ZIA proxy architecture Partner with Product Management and engineering on solution design, trade-offs, and end-to-end delivery of core ZIA functionality Establish reference architectures and design patterns for ZIA components and integrations Provide technical leadership, mentoring, and architectural governance across virtual and product teams Who You Are (Success Profile) You thrive in ambiguity, comfortably building the path as you walk it and viewing dynamic environments as the raw material to create something meaningful. You are customer-obsessed, building deep empathy for both internal and external users while anchoring your decisions in solving real-world problems. You are driven by innovation, bringing deep curiosity to complex technical challenges and constantly seeking better, more secure, and scalable solutions. You think at scale, connecting your daily work to the larger mission to build solutions that support a high-growth, global organization. You lead with integrity by holding yourself and others to high standards of accountability and building trust through consistent, transparent action. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 15+ years of experience of total experience and proven experience in designing and implementing networking security software and public clouds infrastructure Deep understanding of Proxies, HTTP/2, QUIC, TCP/IP, TLS/DTLS and SSL proxies Proficient in C language Demonstrated success in designing, optimizing, and troubleshooting high-throughput, low-latency network security products Bachelor’s degree in Computer Science, Information Technology, or related field What Will Make You Stand Out (Preferred Qualifications) Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency Mastery of TCP/IP, DNS, Http(s), VPN technologies (IPSec, SSL VPN), NAT, and load balancing Knowledge of BSD/Linux operating systems, virtualization technologies, and DPDK or similar kernel bypass techniques #LI-KM9 #LI-Hybrid Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $217,000 — $310,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Software EngineeringVia Greenhouse
Verified4 days ago

Architect, Software Development (Layer 7 Security & Proxy)

On-sitefull timeLead / StaffSanta Clara, United States
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Architect, Software Development (Layer 7 Security & Proxy) to join our team. This is a hybrid role (minimum 3 days a week in Santa Clara, CA office), reporting to the Director, Software Development Engineering in the Zero Trust Exchange department. This architect role is essential to provide technical leadership for the ZIA proxy architecture, with a strong focus on advanced Layer 7 protocols and SSL inspection. You will help improve the quality of code shipped to production by driving sound architectural decisions, implementing innovative solutions, and raising the overall engineering bar for the team. Additionally, you will play a key role in modernizing the ZIA code base by addressing technical debt, fixing existing issues, and rewriting components where necessary. Ultimately, this role is critical for supporting and accelerating the delivery of key proxy roadmap features on a strong and scalable foundation. What You’ll Do (Role Expectations) Support end-to-end QUIC/HTTP/3 and HTTP/2 proxy and TLS/SSL architecture in ZIA Define and evolve ZIA proxy architecture Partner with Product Management and engineering on solution design, trade-offs, and end-to-end delivery of core ZIA functionality Establish reference architectures and design patterns for ZIA components and integrations Provide technical leadership, mentoring, and architectural governance across virtual and product teams Who You Are (Success Profile) You thrive in ambiguity, comfortably building the path as you walk it and viewing dynamic environments as the raw material to create something meaningful. You are customer-obsessed, building deep empathy for both internal and external users while anchoring your decisions in solving real-world problems. You are driven by innovation, bringing deep curiosity to complex technical challenges and constantly seeking better, more secure, and scalable solutions. You think at scale, connecting your daily work to the larger mission to build solutions that support a high-growth, global organization. You lead with integrity by holding yourself and others to high standards of accountability and building trust through consistent, transparent action. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 15+ years of experience of total experience and proven experience in designing and implementing networking security software and public clouds infrastructure Deep understanding of Proxies, HTTP/2, QUIC, TCP/IP, TLS/DTLS and SSL proxies Proficient in C language Demonstrated success in designing, optimizing, and troubleshooting high-throughput, low-latency network security products Bachelor’s degree in Computer Science, Information Technology, or related field What Will Make You Stand Out (Preferred Qualifications) Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency Mastery of TCP/IP, DNS, Http(s), VPN technologies (IPSec, SSL VPN), NAT, and load balancing Knowledge of BSD/Linux operating systems, virtualization technologies, and DPDK or similar kernel bypass techniques #LI-KM9 #LI-Hybrid Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $217,000 — $310,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Software EngineeringVia Greenhouse
Verified4 days ago

Staff Machine Learning Engineer - Data Lake, Anomaly Detection

On-sitefull timeLead / StaffSan Jose, United States
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Engineer to join our team. This is a Hybrid role, reporting to the Sr. Manager, Software Engineering in the Zscaler Digital Experience (Core Intelligence and Data) department. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users. What you’ll do (Role Expectations) Own agentic troubleshooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization Work with the world class cloud platform and data lakes for feature exploration and generation Handle volume data with the real time pipeline for data processing and aggregation Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching Who You Are (Success Profile) Thrive in ambiguity, comfortably building the path as you walk it and viewing dynamic environments as opportunities to construct meaningful solutions. Operate with a strong ownership mindset, combining a passion for the mission with high integrity and the ability to navigate seamlessly between high-level strategy and hands-on execution. Demonstrate a proactive problem-solving focus, eagerly running toward challenges and remaining laser-focused on delivering high-impact outcomes. Build high-trust collaboration, prioritizing team success, welcoming constructive feedback, and practicing clear and respectful candor to establish strong partnerships. Maintain a continuous growth mindset, actively seeking feedback and development to grow as a partner, teammate, and purpose-driven leader. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain BS in Computer Science with 6+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking Hands-on experience with AI modeling, including feature generation, prompt engineering, evaluations, and productionization Experience in the full lifecycle of ML models (building, deployment, monitoring, optimization) alongside expertise in designing and operating distributed microservices using Kubernetes and Docker in Python, Go, or Java What Will Make You Stand Out (Preferred Qualifications) Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency Experience designing and scaling autonomous AI agents, agentic orchestration workflows, and advanced large language model (LLM) tooling to automate complex cloud infrastructure troubleshooting or incident response Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations Experience delivering production-ready AI systems, including expertise in anomaly detection, event correlation, incident investigation, and resilient systems with well-defined service-level objectives #LI-CM3 #LI-Hybrid Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $152,000 — $190,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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AI / ML & Data ScienceVia Greenhouse
Verified5 days ago

Staff Software Development Engineer

On-sitefull timeLead / StaffBengaluru, India
Apply Now

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, of Engineering. What you’ll do (Role Expectations) Develop automation frameworks and automate test cases for the various features of Zscaler Client Connector. Expand automation coverage and infrastructure to improve the quality and efficiency of testing. Understand requirements, develop an exhaustive test plan, execute manual and automated test cases, dig deeper into issues, identify root causes and articulate defects clearly. Deliver a high-quality robust product in a fast-paced environment. Work closely with the Development, Product Management, and cloud Operations teams from design to release of the product/ feature. Recreate complex customer and production reported issues to determine root cause and verify the fixt Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years’ experience as Software QA Engineer working on VPN related products or network traffic related testing / automation Proficient programming skills (python preferred) and good amount of hands-on experience developing automation frameworks, CICD pipelines and leading automated test case development Good knowledge of TCP/IP stack, ICMP/UDP, HTTP/HTTPS, SSL/ TLS, DNS and DHCP Proficient in Networking fundamentals (L3,L4,L7) , Proxies, Firewalls, Routers and Load Balancers What Will Make You Stand Out (Preferred Qualifications) Experience implementing AIOps, AI-driven predictive scaling, or automated anomaly detection to optimize cloud infrastructure performance and reliability Hands on experience with configuring VPNs and setting up GRE / IPSec Tunnels is a plus Experience setting up testbeds in a Virtualization environment is good to have #LI-Hybrid #LI-GL2 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Software EngineeringVia Greenhouse
Verified5 days ago

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