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Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . About the role: As an Analytics Engineer at Netskope you'll be involved in both the business and the technology sides of our Business Intelligence program. The Analytics Engineer candidate will work on all aspects of the data pipeline: ingesting raw sources, transforming it into usable data sets, and creating visualizations in Looker. The successful candidate will work cross-functionally to identify new datasets and turn that data into high-value business insights. Responsibilities: Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse. Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools. Ensure timeliness and quality of data. Work with the BI team on requirements to solve business data needs. Requirements: 3+ years experience working with DBT 3+ years experience with data visualization software (Looker, Tableau) 2+ years experience extracting data with Python Strong business intuition and ability to understand complex business systems Airflow experience a plus Education: Bachelors or Masters degree #LI-CV1 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . What you'll be doing You'll become a resident expert on Netskope's PKI platform, ensuring our services are as secure and reliable as they are scalable. You'll dive into the heart of the product lifecycle, partnering with PMs and Architects to shape requirements and review designs from the ground up. You'll design smart test strategies that cover everything from certificate lifecycles to APIs and distributed cloud infrastructure. You'll build and maintain powerful automation frameworks using tools like Python, PyTest, and Selenium. You'll automate the tricky stuff: REST APIs, enrollment workflows, and essential services like OCSP and CRL. You'll put our security to the test, validating TLS/mTLS, digital signatures, and encryption protocols to keep our users safe. You'll own the quality of your features from the first line of code through to monitoring them in production. You'll create automated suites that test performance, resiliency, and even chaos to make sure we stay up and running. You'll team up with SREs, Security Engineers, and Support teams to make the whole platform better. You'll join our on-call rotation to solve real customer problems and turn those lessons into better automation. You'll constantly look for ways to improve our CI/CD pipelines and engineering best practices. You'll mentor other engineers and help lead the technical direction of our Quality Engineering group. What you bring to the table At least 8 years in software engineering, with 5+ years focused on SDET roles for cloud apps. Expert-level Python skills and a knack for building scalable frameworks. Real-world experience with PyTest, Robot, Selenium, or Playwright. A background in testing REST APIs, microservices, and distributed systems. Experience with heavy-duty security products like SWG, CFW, or Zero Trust platforms. A deep understanding of networking basics: TCP/IP, DNS, Load Balancing, and HTTPS. Familiarity with identity protocols like OAuth 2.0, SAML, and JWT. An understanding of PKI, SSL/TLS and Mutual TLS (mTLS), Digital Signatures and Encryption A track record of validating highly available and secure distributed systems. Experience working with SQL and NoSQL databases like PostgreSQL or MongoDB. The ability to look at the "big picture" and make quality decisions that impact the entire product. AI-Assisted Engineering: Proven practical adoption of AI tools (e.g., GitHub Copilot, Cursor, Gemini) for code generation, debugging, root cause analysis, and increasing delivery velocity. Bonus points if you have Experience with Venafi, HashiCorp Vault, or other enterprise PKI solutions. Worked with HSMs and managed cryptographic keys. Experience in AWS, Azure, or GCP cloud environments. Skills with Docker, Kubernetes, and Helm. Hands-on experience with GitHub Actions, Jenkins, or Drone. Used Terraform or Ansible to manage infrastructure. Experience with observability tools like Prometheus, Grafana, or Datadog. Linux mastery and shell scripting skills. Knowledge of service meshes like Istio or Linkerd. Education A Bachelor's degree in Computer Science or equivalent discipline is required, Master's degree strongly preferred. #LI-SK3 Compensation: At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site . Salary Range $116,000 — $235,500 USD Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Endpoint Data Security team designs, implements and enhances next-generation endpoint security products. Netskope Endpoint DLP extends the Netskope Cloud DLP solution to data in use on employees’ managed machines protecting it from loss and theft. It seamlessly extends all the advanced solution capabilities of Netskope Cloud DLP to corporate endpoints to consistently identify, monitor and protect sensitive data leaving such endpoints via USB. What’s in it for you As a Staff Software Engineer in the Data Protection team, you will be responsible for designing, implementing, and enhancing client software for Netskope Cloud Security solutions, and solving some of the most challenging cloud access & data security problems for enterprise customers. In this role you will Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence. Set the architectural direction of backend distribution APIs and services to ensure high availability, resiliency, and performance at scale. Partner with product, engineering, and infrastructure stakeholders to translate business requirements into robust technical solutions. Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution. Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response. Set standards for operational excellence, including monitoring, alerting, on-call processes, and post-incident analysis. Perform thorough code reviews and uphold a high standard of technical rigor and maintainability. Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement. Influence newly-surfacing AI development best-practices and help the team be more productive. Contribute to technical documentation and promote knowledge sharing across teams. Required skills and experience Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 10+ years of experience building and operating highly available, distributed backend systems in production environments. Strong experience designing and developing large-scale backend services using Golang. Experience deploying and scaling services within cloud infrastructure. Strong problem-solving skills with a proactive, detail-oriented approach. Excellent communication skills in English and the ability to express complex technical ideas clearly. The ability to treat others with kindness even in tense situations is very important and valued. Experience with AI-assisted development workflows. Experience with CI/CD pipelines and source control systems (e.g., Git, Gitlab, Jenkins). Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Grafana). Education Bachelor’s degree in Computer Science or a related field required; Master’s degree or higher preferred. #LI-AB1 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . About the Role: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. We're looking for an engineer to ensure the reliable operation of production environments for our Data Infrastructure and products, running at scale on large-volume distributed cloud systems. You'll focus on maximizing system reliability, automating routine tasks, and improving production efficiency. This role offers hands-on exposure to modern cloud technologies — Docker, Kubernetes, networking, and platforms like AWS and GCP — while you contribute directly to system uptime and user experience for a large-scale distributed application. You'll lead production monitoring and incident response, drive automation to reduce manual work, and collaborate with Engineering on root cause analysis, CI/CD support, and capacity planning. What's in it for you: In this role, you will be responsible for seamless operation of production environments for our Data Infrastructure and products within large-scale, high-volume distributed cloud systems. You will concentrate on maximizing system reliability, automating routine tasks, and maintaining the efficiency of our production systems. This role provides practical cloud exposure to help you deepen your expertise in modern technology stacks, such as Docker, Kubernetes, Networking, and major public cloud providers like AWS and GCP. You will have the chance to contribute to enhancing user experience and system uptime for a large-scale distributed application. What you will be doing: Monitoring: Use observability dashboards to monitor system performance, error rates, and resource utilization. Define new dashboards and alerts as and when required and write technical runbooks for Incident response. Incident Response: Act as the initial point of contact for production alerts, mitigate/solve the ongoing issues, escalate highly complex problems to the Engineering team, and conduct thorough root cause analysis for incidents. Automation: Identify repetitive manual tasks and streamline them through automation. Support CI/CD: Help create, test, and maintain automated application deployment pipelines. Capacity Management: Assist in tracking system resource usage (CPU, memory, storage) and traffic volume to help forecast and scale infrastructure needs Required skills and experience: 5+ years of overall industry experience in a relevant technical role Proficiency in at least one scripting language, preferably Python Hands-on experience with containerization and orchestration technologies such as Docker, Kubernetes, and related cluster concepts Strong understanding of public cloud infrastructure, with a preference for AWS (GCP experience also considered) Working knowledge of Linux/Unix command-line environments and core web protocols including HTTP, gRPC, DNS, and TCP/IP Experience with observability and monitoring tools such as Grafana and Prometheus is a plus Familiarity with Infrastructure as Code (IaC) using Terraform, along with workflow automation via GitHub Actions, is a plus Willingness to participate in an on-call rotation and respond to production incidents with flexibility to support critical systems Education BSCS or equivalent required, MSCS or equivalent strongly preferred #LI-JB3 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. About the Role Netskope AI Gateway helps global enterprises securely adopt and scale Generative AI. We are looking for a Staff Software Development Engineer in Test (SDET) to own quality for significant areas of the AI Gateway product, its supporting services, and its APIs, across SaaS and on-prem/hybrid customer environments. This is a hands-on individual-contributor role with real ownership. The areas assigned to you are yours: you set the testing direction and build what is needed to execute it, bringing hard calls to the QE lead as a peer rather than waiting for a specification or a checklist before you act. Depth matters more than volume in this role. We are looking for someone who can get a long way into an ambiguous problem before needing help, go deep when a failure crosses service, infrastructure, and network boundaries, and work directly with developers and product managers to get the underlying problem fixed rather than routed around. What You Will Be Doing Own Quality for Your Areas: For the features and services assigned to you, own the outcome: reliability, correctness, performance, security-related behaviors, and user experience expectations. Decide what needs testing and at which layer, set the bar for shipping that area, and be accountable for what gets through. Turn Ambiguity into a Plan: Start from partial requirements, an architecture diagram, and a conversation with the developer, and produce a concrete test approach. Surface the risks nobody has written down yet, decide which ones matter, and state clearly what you are choosing not to cover and why. Build the Automation: Design and implement the automated suites and the frameworks, harnesses, and fixtures behind them. Write them as real software: readable, maintainable, and quick to triage when they fail. Keep flakiness low through deterministic test design, environment isolation, and disciplined use of mocking and service virtualization. Use AI Where It Earns Its Place: Bring AI and agent-based tooling into the testing workflow: generating scaffolding and test data, navigating unfamiliar code, summarizing logs and failures, and shortening the path from symptom to hypothesis. Be equally clear about the limits. AI-generated tests can look thorough while asserting nothing that matters, so you check what the assertions actually prove. The tool can draft the work, but the coverage decision and the verdict stay yours. Validate the Gateway Data Path: Verify that AI Gateway stays compatible with the provider APIs it fronts, that policy matches exactly the requests it should, and that the resulting action and logging are correct. Debug Deep and Across Boundaries: Be the person who gets to the bottom of hard failures. Trace problems across microservices, asynchronous workflows, Kubernetes networking, TLS and proxy behavior, and CI infrastructure, and come back with a root cause rather than a reassignment. Keep CI/CD Trustworthy: Integrate your tests into CI/CD with attention to signal-to-noise, parallelization, execution time, and reporting that points at the actual failure. Diagnose pipeline and environment problems instead of retrying around them. Share Production Ownership: Own the production service alongside the rest of the AIG engineering team. Take part in the shared on-call rotation, monitor production health, and troubleshoot and resolve critical production issues. Push Problems Upstream: Work directly with developers and product managers. Raise testability and instrumentation needs while designs are still open, argue for the fixes that prevent whole classes of defects, and make sure recurring failure patterns change how the next feature is built. Write bug reports a developer can act on immediately: reproduction steps, logs, traces, and a clear statement of impact. What Success Looks Like The areas you own ship with high confidence, and the defects that do escape are rare and understood. A vague problem handed to you comes back as a clear plan, a working suite, and an explicit list of the risks you accepted. Hard cross-boundary failures land with you and leave with a root cause. Your automation is trusted: when it fails, people believe something is actually broken. AI makes the work faster, and the coverage still holds up when someone reviews it. Developers change designs because of risks you raised early, and the same defect does not come back twice. Required Skills and Experience Experience: 8+ years in software quality engineering / SDET / test automation, including 5+ years on distributed systems, cloud services, or security/networking products. You have owned quality for a substantial product area with little supervision. Autonomy: Track record of taking an under-specified problem and driving it to a working solution, including deciding what not to do. Comfortable being the only person working on something. Programming: Strong software engineering skills in Python (preferred) or Golang. You write automation, libraries, and tooling that hold up as production software rather than as scripts. AI-Assisted Engineering: Practical experience using LLM-based tools or coding agents in real engineering work, and a clear view of where they help and where they mislead. You can point to a case where you caught what the AI missed. Debugging Depth: Demonstrated ability to isolate root cause in complex failures spanning services, infrastructure, and the network layer, rather than escalating them onward. API and Distributed Systems Testing: Extensive hands-on experience testing REST APIs, microservices, and asynchronous workflows. Test Design: Deep command of test strategy, risk-based testing, and layered test design; able to make and defend explicit trade-offs on coverage, cost, execution time, and confidence. CI/CD: Proven ability to build and troubleshoot CI/CD pipelines and the infrastructure that keeps large test suites reliable. Containers and Kubernetes: Strong experience running and testing services on Docker/Kubernetes, and debugging failures involving networking, service discovery, and configuration. Networking: Solid working knowledge of HTTP/S, TLS, proxy/gateway concepts, DNS, and the failure modes that affect AI Gateway deployments. Defect Management: Excellent defect isolation, triage, and tracking discipline (e.g., Jira), with follow-through until the systemic fix lands. Working with Engineering and Product: Able to hold a technical discussion with developers as a peer and to explain risk and trade-offs to product managers clearly. Exceptional verbal and written English for complex technical collaboration. Nice to Have GenAI Ecosystem: Familiarity with the request and response schemas of major LLM provider APIs, such as OpenAI, Anthropic, Google, or Bedrock, including their streaming formats and how these APIs change over time. Cloud Platforms: Experience with AWS, Azure, or GCP, and validating hybrid/on-prem customer deployments. Cybersecurity: Knowledge of secure web development, ZTNA, DLP, and proxy/gateway product concepts. Performance and Scale: Experience designing load and performance tests and analyzing latency/throughput for high-traffic APIs and gateways. Resilience Testing: Fault injection, chaos, or failure-mode testing of distributed services. Observability: Hands-on use of metrics/logging/tracing tooling (e.g., Prometheus, Grafana, OpenTelemetry) for faster test and defect triage. Education BS in Computer Science or equivalent degree required ; MS in Computer Science or equivalent is strongly preferred. #LI-SK3 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . About the role The Netskope Data Security team provides unrivaled visibility and real-time protection, ensuring customer data is secured wherever it resides. As a Senior Engineering Manager, you will lead the Data Lineage team—the architects of a high-performance platform that traces the movement and transformation of data across cloud applications, endpoints, and on-premises systems. This product is defined by high-throughput streaming, large-scale database optimization, and sophisticated graph traversal logic that converts raw event streams into coherent, explainable provenance chains. This role requires an entrepreneurial leader with a passion for innovation and a commitment to nurturing both engineering talent and product vision. You will act as both a technical lead and a product owner, partnering across the organization to align engineering milestones with strategic business objectives. You will define the roadmap, translate complex challenges into executable plans, and mentor a high-performing team while setting the long-term architectural direction. What you will be doing Product Strategy & Roadmap: Collaborate with Product Managers to co-own the product vision and roadmap. Prioritize the backlog by balancing new feature development with performance improvements, scalability investments, and architectural health. Technical Stewardship: Set the architectural vision for a high-throughput, multi-tenant platform. Guide the team's approach to streaming ingestion, distributed database optimization (PostgreSQL), and complex graph traversal algorithms. Cross-Functional Collaboration: Partner with Product Managers, SRE, and adjacent engineering teams to align on requirements and dependencies. Translate deep technical trade-offs into clear, decision-ready recommendations for leadership and stakeholders. Operational Excellence: Define and track Service Level Objectives (SLOs), lead incident response and root-cause analysis, and drive reliability improvements for a production-critical system. Required skills & experience Engineering Leadership: 10+ years of software engineering experience, including 3+ years leading engineering teams. Proven track record in hiring, performance management, and driving technical roadmaps. Product leadership: Track record of collaborating with product managers to define scope, prioritize backlogs, and ship customer-facing outcomes. Strategic communication: Ability to bridge engineering, product, and leadership audiences, translating complex technical trade-offs into decision-ready recommendations. Bias for action: Experience operating in ambiguous environments, shaping roadmaps when requirements are incomplete, and navigating evolving problem spaces. Distributed Systems: Demonstrated experience owning and scaling high-throughput, distributed streaming systems (e.g., Kafka) in production environments. System Architecture: Expertise in designing resilient, scalable architectures that mitigate common production failure modes. Proficient in implementing robust design patterns like backpressure and circuit breaking to ensure reliability, with the technical depth to influence critical design decisions. Database Architecture: Demonstrated experience guiding teams through database-heavy platform design. Expertise in evaluating PostgreSQL (or equivalent) trade-offs, ensuring sound decisions regarding data modeling, sharding, and performance optimization for large-scale datasets. Graph Modeling: Experience providing architectural oversight for complex, relationship-heavy data systems. Skilled in coaching teams on modeling trade-offs and graph traversal strategies aligned with product performance and scalability. Operational Excellence: Proven track record in fostering a culture of operational rigor. Experience defining reliability strategies and establishing meaningful SLOs. Bonus Points: Deep experience with the end-to-end data lineage lifecycle, including telemetry collection, event unification, schema standardization, cryptographic fingerprinting, heuristic-based correlation, and graph-based modeling. Education: BSCS or equivalent required; MSCS or equivalent strongly preferred. Compensation: At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site . Salary Range $133,500 — $272,000 USD Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . An agent doesn't go from a developer's laptop to production in one step here — it moves through a staged pipeline with real gates at every stage, then spends its first two weeks in production under close review before anyone trusts it to act on its own. As a Senior Agent Release Engineer, you'll own that entire path: the CI/CD pipeline every agent and every model change moves through, the automated checks that decide whether a release is safe to promote, and the rollback plan for when something isn't. You'll also own model tiering — making sure each agent is running on the model tier that actually fits its task, since that's one of the biggest cost levers on a platform running well over a hundred agents at once. If you like turning "we hope this works" into "here's the automated gate that proves it," this is that role. Skills and competencies: Own and continuously improve the CI/CD pipeline every agent and every model or prompt change moves through, from initial commit through sandbox, development, and staging, before anything reaches production. Design and maintain the automated gates that decide whether a release is safe to promote — evaluation score thresholds, security scan results, guardrail test results — so a human isn't manually eyeballing test output before every promotion. Own progressive rollout for model and agent changes: canary a change to a small slice of traffic or sessions first, watch the quality and cost metrics live, and only promote to full traffic once those metrics hold. Build and maintain the rollback path for every stage of the pipeline, so that a bad release can be reversed in minutes, not hours, and so the trigger conditions for rollback are automatic rather than someone noticing a problem by chance. Own model tiering across the agent fleet: routing agents to the model tier that actually fits their task complexity, and adjusting that routing as usage patterns or model pricing change. Manage the shadow-period process for newly promoted agents, making sure the right metrics and review checkpoints are actually in place and visible before an agent moves from shadow to fully autonomous operation. Run model version regression testing whenever a new model version becomes available, confirming existing agents don't silently degrade before that version gets adopted anywhere in production. Partner with the Agent Runtime Engineer on the runtime side of releases to quickly troubleshoot issues in case of a bad rollout. Must-Have: At least 5 years in CI/CD, release engineering, or MLOps, including 1–2 years releasing LLM or agent-based systems specifically. Has designed and run a progressive rollout strategy (canary, shadow, or blue-green) for something stateful or model-driven, with automatic rollback triggers built in from the start, not a person noticing a problem and rolling back by hand. Has gated a release on evaluation scores before, treating a regression as a hard stop the same way a failed test would, and can design that same kind of check to catch a new model version quietly degrading an existing agent before it touches production. Strong Python (or similar) and solid infrastructure-as-code skills. Terraform, CDK, GitHub Actions, or CodePipeline all count. Comfortable building and deploying containerized services with Docker, and owning their release path through CI/CD end to end. Strong Advantage: Direct experience with AWS Bedrock, or something comparable, including its deployment and versioning quirks. Has made model tiering or cost-routing decisions — matched task complexity to model cost instead of defaulting everyone to the priciest option. Worked somewhere release pipelines needed to produce evidence for an audit, not just pass internally. Can explain the difference between traditional CI/CD (pass or fail) and AI release gating (thresholds and probability) to someone who's only worked in the former. That gap trips people up more than it should. #LI-CV1 Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram . Positions are available at Senior Staff and above. Candidates are assessed individually and leveled according to their specific skills and background. About the role As a Senior Staff Machine Learning Scientist, you own the inference and optimization layer that makes AI in agentic workflows fast, efficient, and production-grade. You fine-tune and evaluate models, push latency and throughput on real hardware, and build the runtime that executes bounded AI tasks, validated against usage from Netskope’s large customer base so you optimize where the data points, not where you guess. What’s in it for you High-impact ownership. You own the model layer of a net-new product that changes the performance and economics of agentic AI. Cutting-edge, unusual stack. The hard, interesting inference problems live here: quantization, KV-cache and memory management, sparsity, fine-tuning, and hardware acceleration under real-world resource constraints. Real scale to build against. Netskope’s customer footprint gives you production signals most teams never see, so you deploy, validate, and iterate fast. What you will be doing Build and optimize the model inference path : quantization, KV-cache optimization, batching, and latency/memory/throughput tuning on constrained, commodity hardware. Fine-tune and evaluate models for bounded tasks; build eval harnesses that gate a capability to release on real accuracy, latency, and security relevance. Design and grow the task execution runtime (bounded sub-agents), pushing toward dynamic task generation and context compaction. Drive hardware acceleration / sparsity and support for larger models as the platform matures. Partner with the systems and backend engineers to ship capabilities end-to-end and iterate on real production signals. Required skills and experience 10+ years of overall industry experience , with 4+ years hands-on in ML/AI (model development, fine-tuning, and inference optimization). Hands-on with fine-tuning (e.g. LoRA/QLoRA), quantization (GGUF/AWQ/GPTQ), and inference runtimes (vLLM/SGLang, TensorRT-LLM, ONNX Runtime, llama.cpp, or MLX/CoreML). On-device or edge inference experience is a strong plus. Strong Python; comfort reaching into C++ for low-level interop is a plus. Solid grasp of transformer internals and the levers that move real inference performance and cost: KV cache, attention, batching, memory footprint. Fluency with agentic coding systems and genuine curiosity about agent harnesses like Claude Code, Pi, and Codex , so you should already be building with them, or itching to. Clear communication: able to distill a model or infra bottleneck into an actionable concept for cross-functional teammates. Education MS in Computer Science, Machine Learning, Electrical Engineering, or equivalent technical degree required, with a focus in AI/ML research; PhD in a related field strongly preferred. Compensation: At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site . Salary Range $124,500 — $272,000 USD Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.