Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

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.

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.

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.

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.

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.

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.

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.

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) Lead ZCC feature design and hands-on C++ implementation on Linux environment. Take full technical ownership of complex projects, from concept to deployment. Elevate code quality and enforce best practices to ensure a robust, efficient, and secure client. Ability to process packets at both ingress and egress points at very high speed so that client using the system does not perceive any increased latencies. To work cross-functionally with the Quality Assurance team to test the work product, and influence the testing to make the product ready for deployment 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 of experience of developing enterprise applications with distributed systems background. Strong C/C++ programming, Data structures/Algorithms & debugging skills in a cloud environment. Deep understanding of Operating System principles and OS like Linux/Unix. Extensive network programming experience (TCP/IP, HTTP/S, DNS, proxy) with knowledge of kernel-mode networking or NDIS drivers 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 Understanding of cybersecurity principles, encryption (PKI, TLS/SSL), authentication, endpoint agents, and anti-tampering Experience in Network Data Path & Socket programming & POSIX Multi-thread programming. #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.