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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 Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products help ensure that customers' data is protected wherever it lives. Our engineers architect, build, test, deploy, and operate highly scalable, high-performance data protection services across public cloud, private cloud, and on-premises environments. In this role, you will help build and operate the infrastructure, automation, and engineering platforms that enable our Data Security services to be deployed and operated reliably at global scale. You will work closely with development, SRE, Platform Engineering, Operations, QA, and cloud infrastructure teams. You can read more about our best-in-class Data Security solutions at Netskope One Data Security . What's in It for You? We are looking for DevOps engineers who enjoy solving complex infrastructure and production engineering problems through a combination of software development, automation, and strong systems knowledge. You will have the opportunity to work across Kubernetes, cloud infrastructure, CI/CD, observability, networking, and distributed systems while developing tools and automation that improve how our engineering teams build, deploy, and operate services. You will also have opportunities to use modern AI-assisted development tools to accelerate automation, software development, troubleshooting, and engineering productivity. What You Will Be Doing Deploy, operate, and troubleshoot Kubernetes-based services across public cloud, private cloud, and on-premises environments. Build and maintain automation for deployments, releases, configuration management, infrastructure, and operational workflows. Develop tools and software that improve the reliability, scalability, and efficiency of our services and engineering processes. Work with development, SRE, Platform Engineering, Operations, QA, cloud providers, and other teams to resolve complex production and deployment issues. Improve monitoring, metrics, logging, dashboards, and alerting to provide strong visibility into application and infrastructure health. Investigate complex issues spanning applications, Kubernetes, networking, infrastructure, and cloud platforms, and drive them through root cause and resolution. Identify repetitive or operationally expensive processes and replace them with reliable automation and tooling. Help improve service scalability, performance, capacity management, and operational readiness. Contribute to runbooks, operational procedures, and engineering best practices. Participate in the team's production support and on-call rotation. Use AI-assisted development tools and coding agents as part of day-to-day engineering to accelerate development of automation, tooling, testing, troubleshooting, and operational solutions. Required Skills and Experience 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, infrastructure engineering, or a related role. Staff-level candidates will typically have 8+ years of relevant experience . Strong hands-on experience with Linux and troubleshooting production systems. Experience deploying and operating Kubernetes-based services in production. Experience with at least one major public or private cloud platform such as AWS, GCP, Azure, or OpenStack. Solid understanding of networking fundamentals including TCP/IP, DNS, load balancing, SSL/TLS, and cloud or Kubernetes networking. Programming and automation experience using Python, Go, or a similar language. Experience with CI/CD, infrastructure automation, or configuration management using tools such as Jenkins, Ansible, Terraform, or equivalent technologies. Experience with production monitoring and observability using technologies such as Prometheus, Grafana, Sumo Logic, Elastic Stack, or equivalent platforms. Strong troubleshooting and problem-solving skills across applications and infrastructure. Ability to independently own and deliver technical projects. Strong written and verbal communication skills and the ability to collaborate effectively with geographically distributed teams. Hands-on experience using AI-assisted development tools and coding agents to accelerate software development, automation, testing, debugging, and problem solving, with the ability to review, validate, and take ownership of AI-generated code. Preferred Qualifications Experience building internal platforms, developer tooling, release automation, or other systems that improve engineering productivity. Experience troubleshooting distributed systems and large-scale cloud services. Strong software engineering practices, including code review, testing, debugging, and maintainability. Experience working across multiple cloud or hybrid-cloud environments. Education BS in Computer Science, Engineering, or equivalent practical experience required. An advanced degree 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 . Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience. About the Role Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products help ensure that customers' data is protected wherever it lives. Our engineers architect, build, test, deploy, and operate highly scalable, high-performance data protection services across public cloud, private cloud, and on-premises environments. In this role, you will help build and operate the infrastructure, automation, and engineering platforms that enable our Data Security services to be deployed and operated reliably at global scale. You will work closely with development, SRE, Platform Engineering, Operations, QA, and cloud infrastructure teams. You can read more about our best-in-class Data Security solutions at Netskope One Data Security . What's in It for You? We are looking for DevOps engineers who enjoy solving complex infrastructure and production engineering problems through a combination of software development, automation, and strong systems knowledge. You will have the opportunity to work across Kubernetes, cloud infrastructure, CI/CD, observability, networking, and distributed systems while developing tools and automation that improve how our engineering teams build, deploy, and operate services. You will also have opportunities to use modern AI-assisted development tools to accelerate automation, software development, troubleshooting, and engineering productivity. What You Will Be Doing Deploy, operate, and troubleshoot Kubernetes-based services across public cloud, private cloud, and on-premises environments. Build and maintain automation for deployments, releases, configuration management, infrastructure, and operational workflows. Develop tools and software that improve the reliability, scalability, and efficiency of our services and engineering processes. Work with development, SRE, Platform Engineering, Operations, QA, cloud providers, and other teams to resolve complex production and deployment issues. Improve monitoring, metrics, logging, dashboards, and alerting to provide strong visibility into application and infrastructure health. Investigate complex issues spanning applications, Kubernetes, networking, infrastructure, and cloud platforms, and drive them through root cause and resolution. Identify repetitive or operationally expensive processes and replace them with reliable automation and tooling. Help improve service scalability, performance, capacity management, and operational readiness. Contribute to runbooks, operational procedures, and engineering best practices. Participate in the team's production support and on-call rotation. Use AI-assisted development tools and coding agents as part of day-to-day engineering to accelerate development of automation, tooling, testing, troubleshooting, and operational solutions. Required Skills and Experience 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, infrastructure engineering, or a related role. Staff-level candidates will typically have 8+ years of relevant experience. Strong hands-on experience with Linux and troubleshooting production systems. Experience deploying and operating Kubernetes-based services in production. Experience with at least one major public or private cloud platform such as AWS, GCP, Azure, or OpenStack. Solid understanding of networking fundamentals including TCP/IP, DNS, load balancing, SSL/TLS, and cloud or Kubernetes networking. Programming and automation experience using Python, Go, or a similar language. Experience with CI/CD, infrastructure automation, or configuration management using tools such as Jenkins, Ansible, Terraform, or equivalent technologies. Experience with production monitoring and observability using technologies such as Prometheus, Grafana, Sumo Logic, Elastic Stack, or equivalent platforms. Strong troubleshooting and problem-solving skills across applications and infrastructure. Ability to independently own and deliver technical projects. Strong written and verbal communication skills and the ability to collaborate effectively with geographically distributed teams. Hands-on experience using AI-assisted development tools and coding agents to accelerate software development, automation, testing, debugging, and problem solving, with the ability to review, validate, and take ownership of AI-generated code. Preferred Qualifications Experience building internal platforms, developer tooling, release automation, or other systems that improve engineering productivity. Experience troubleshooting distributed systems and large-scale cloud services. Strong software engineering practices, including code review, testing, debugging, and maintainability. Experience working across multiple cloud or hybrid-cloud environments. Additional Expectations for Staff-Level Candidates Staff-level candidates should demonstrate technical leadership beyond individual project execution. This includes: Leading complex technical initiatives and driving solutions across multiple teams or systems. Designing platforms, automation, or architectural improvements that have broader engineering impact. Providing technical direction, mentoring engineers, and helping raise engineering standards across the organization. Education BS in Computer Science, Engineering, or equivalent practical experience required. An advanced degree is strongly preferred. 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’s in it for you As a member of the UI engineering team you will collaborate with backend service teams to develop the user interface for Netskope products. You will work on both the frontend as well as the web application backend, working closely with our backend teams on Machine Learning, Threat, DLP, IaaS, API’s and other cool technologies. Depending upon the role you are hired for, you may also work on the Netskope REST API Gateway which exposes our REST API’s to customers. What you will be doing Work in the frontend to implement web applications. Work in the WebUI backend to support web application service features. Develop reusable UI components in React, Angular16+, Javascript and HTML5/CSS3. Ensure that the Netskope web interface works seamlessly in all browsers. Keep abreast of latest technologies and web methodologies which could be used in the Netskope product in future. We are looking for highly motivated and talented developers who are self-driven and also a good team player. Required skills and experience 8+ years of full stack software development experience Expertise in Javascript Experience with HTML5/CSS3 and modern CSS Frameworks and pre-compilers. Experience with backend languages like PHP, Python, Java or NodeJS. Proficient in Algorithms. Proficient in relational database design. Knowledge of secure web development practices. Working knowledge of git or other version controlling tools. Experience in improving web application performance and testing tools is a big plus. Experience with modern Javascript frameworks (React/Angular16+ preferred). Experience with AI-assisted coding platforms (example - GitHub Copilot, Cursor, Claude, Codex etc.,) for code generation, debugging and documentation. Education BSCS or equivalent required, MSCS or equivalent strongly 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 The SRE team supports the Netskope suite of services. We are a team of software engineers focused on improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you. What’s in it for you You will be part of a growing team of renowned engineers in the exciting space of developing tools for infrastructure management. Your contributions to our market-leading product support will significantly impact our rapidly-growing global customer base. You will solve complex, exciting challenges and improve the depth and breadth of your technical and analytical skills. What you will be doing Partner closely with our development teams and product managers to architect and build features that are highly available, performant and secure Develop innovative ways to smartly measure, monitor & report application and infrastructure health Gain deep knowledge of our application stack Experience improving the performance of micro-services and solve scaling/performance issues Capacity management and planning Function well in a fast-paced and rapidly-changing environment Participate with the dev teams in 12X7 on-call rotations. Ability to debug and optimize code and automate routine tasks. Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, monitoring and root cause analysis. Required skills and experience 5+ years of experience troubleshooting Linux Experience in managing a large-scale web operations role Experience in one or more of the following: C, C++, Java, Python, Go, or Ruby Experience with algorithms, data structures, complexity analysis, and software design Hands-on working with private or public cloud services in a highly available and scalable production environment. Experience with IaC tools like terraform Experience with AWS is a plus Knowledge of distributed systems a big plus Previous experience working with geographically-distributed coworkers. Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, developers, Product Managers, etc Should have led teams, collaborating cross-functionally to deliver complex software features and solutions. Education BSCS or equivalent required, MSCS or equivalent strongly preferred 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 . Moving AI agents from a playground demo to production requires serious software engineering discipline. We are looking for an AI Agent Engineer who knows how to build scalable, secure, and fully auditable agentic systems. In this role, you won't just tweak prompts until they "feel right." You will build spec-driven orchestrator and sub-agent architectures, manage sensitive data classifications, integrate tool gateways, and establish comprehensive test cases. You’ll work closely with Product, Security, and Cloud Architecture to ensure every agent operates strictly within its designated guardrails and risk tiers. Skills and Competencies: Write full agent specifications — purpose, capabilities, input/output contracts, guardrails, and tool boundaries — to the same level of rigor a safety-critical system would get, not a quick README. Design and build orchestrator agents that hand work off to specialized sub-agents, and hold the line on a simple rule: the orchestrator coordinates, it doesn't do the work itself. Write and test system prompts, and design tool schemas that stay accurate even when an agent has to choose between fifteen or twenty different tools — not just three. Work with the Data Steward to classify how sensitive each agent's data is, and with the Product Owner/Architect to set its risk tier, before anything goes up for registration. For each capability an agent has, decide whether it should be deterministic logic or model judgment, and build test cases that prove it actually meets that bar. Build every agent against the platform's tool gateway, so nothing an agent does falls outside what it's registered and approved to touch. Design for scale from day one — sessions that stay isolated from each other, failures that are predictable, and no assumptions that only hold up in a single test run. Prepare the evidence a reviewer needs before approving an agent for production: test results, guardrail coverage, and behavioral results, laid out clearly enough that someone outside your head can follow the reasoning. Must-Have: At least 4 years building production software, with 1–2 of those years specifically spent building LLM-powered agents — not chatbots, not RAG pipelines, agents that make tool-use decisions on their own. Real hands-on time with at least one agent orchestration framework — LangGraph, Bedrock AgentCore, CrewAI, AutoGen, or similar — enough to explain why you'd pick one over another for a given problem. Working knowledge of the Model Context Protocol: building or integrating MCP servers and clients, and understanding where tool-selection tends to break down. A real prompt engineering practice — versioning changes, testing them against a set of cases before shipping — not just iterating in a playground until it feels right. Comfort writing precise specs: boundaries, failure modes, test criteria. This team documents everything and peer-reviews it, so this isn't optional. Enough AWS familiarity (Lambda, IAM roles, Bedrock) to understand how your agents actually run, even though infrastructure itself belongs to the Cloud Engineers. Strong Advantage: Experience designing systems where one agent does something and a different agent checks it — separation of duties built into the architecture, not just documented afterward. Any exposure to red-teaming or adversarial testing of AI systems, even if it wasn't your main role. Time spent in a regulated environment (SOX, SOC2, GDPR, ISO27001), where "it works" was never the whole bar. Some familiarity with how agent memory works — short-term session memory versus something more durable — and what each choice costs you in auditability. #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 . 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. Great agentic AI depends on the data behind it. As a Senior Staff Backend Engineer, you build the configuration service that drives every client and the telemetry pipeline that turns raw production signals into the performance, security, and quality insights that tell the team what to build next. Ingest, classify, aggregate, dashboard: you own that spine, and it runs against usage from Netskope’s large customer base. What’s in it for you You build the measurement engine. The team’s whole strategy, optimize where the data points, runs on the pipeline you own. Green-field backend. This function is net-new. You’ll set the patterns, not inherit them. Real scale to build against. Netskope’s customer footprint gives your pipelines production signals at a volume most teams never touch. What you will be doing Build the configuration backend service that manages and delivers config to clients. Build the telemetry pipeline : ingest usage events, run a multi-category classifier, aggregate performance/security/quality patterns, and feed per-user and exec dashboards. Design and ship reliable, observable, secure services and APIs in Golang and/or Python . Partner with the ML team (which consumes the data) and the endpoint team (which emits it), and with partner orgs on the dashboard front-end. Required skills and experience 10+ years of overall industry experience , with 6+ years in backend/services and distributed systems in Golang and/or Python : services, APIs, and data pipelines/ETL you’ve built and operated in production. Experience with telemetry, event, or data pipelines and the storage/query systems behind them. Expertise with Kubernetes and cloud platforms (AWS) for deploying, scaling, and operating production services. Understanding of REST/HTTPS/TLS and designing and shipping secure APIs. Fluency with agentic coding systems and genuine curiosity about agent harnesses like Claude Code, Pi, and Codex , bonus if you’ve instrumented one. Expertise with data structures and algorithms; strong communication skills. Education BS Computer Science or equivalent required; MS Computer Science or equivalent 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 . 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 . Every agent on this platform runs inside its own isolated environment, and someone has to make sure that environment actually behaves the way it's supposed to under real load, not just in a clean test run. As a Senior Agent Runtime Engineer , you'll own the health of the systems agents run on: keeping sessions isolated from each other, catching the failure modes that only show up under real concurrency, and making sure a slow or expensive agent gets caught before it becomes everyone's problem. You'll work closely with the engineers building the agents themselves, since you're often the first call when something behaves strangely in a real environment but not in a test one. If you like being the person who understands a system well enough to know exactly why it's misbehaving, this is that job. Skills and competencies: Own the health of the agent execution environment day to day — session isolation, resource limits, and catching the failure modes that only appear once real concurrency and real traffic patterns show up, not just in a clean test run. Investigate and resolve cases where an agent behaves differently in production than it did in testing, working directly with the Agent Engineer or Quality Engineer who built it to figure out whether the problem is the agent's design or the environment it's running in. Tune cold-start and concurrency settings for the platform's critical-path functions, and review them on a regular cadence as usage patterns shift rather than setting them once and forgetting them. Understand the platform's session isolation model well enough to reason about its limits — where isolation is guaranteed by the underlying compute layer, and where the platform has to add its own controls because that guarantee doesn't fully hold. Build and maintain the observability that lets someone answer "is this agent actually working correctly," not just "is it technically up" — tracing, behavioral drift detection, and quality signals sitting alongside the usual metrics and logs. Track per-agent and per-session cost and efficiency, and flag agents that are burning more tokens, calling more tools, or running longer than the task should reasonably require. Deploy and manage runtime-layer infrastructure resources through existing CI/CD pipelines as needed — provisioned concurrency settings, runtime-specific IAM roles, observability configurations, etc. Run and improve the tests that validate isolation actually holds — for example, confirming that one agent's session genuinely can't reach or affect another's, not just assuming it because the platform is supposed to guarantee it. Must-Have: At least 5 years in a platform, SRE, or infrastructure engineering role, with real production experience running serverless or containerized workloads on AWS (Lambda, Fargate, Docker, Kubernetes or equivalent) at meaningful scale. Hands-on experience with AWS observability tooling (CloudWatch, X-Ray, or a comparable distributed tracing stack) — able to go from "something's wrong" to a root cause using traces and logs, not just dashboards. Real experience deploying and managing infrastructure through CI/CD independently — comfortable owning IaC changes (Terraform, CDK, or similar) end to end rather than handing them off to someone else. Working understanding of compute isolation concepts (containers, microVMs, or similar sandboxing models) and where their guarantees actually stop, since a lot of this role is reasoning about the edges of what a platform promises versus what it might not fully cover on its own. Comfort investigating cost and performance problems at a granular level — able to trace an unexpectedly expensive or slow workload back to a specific cause, not just flag that costs went up. Strong incident response instincts: staying calm and methodical while root-causing a live production issue, and following through with an actual fix rather than a workaround. Strong Advantage: Direct experience with AWS Bedrock, SageMaker, or any managed AI/agent runtime platform. Experience with cold-start or concurrency tuning specifically (Lambda provisioned concurrency, container warm pools, or similar). Exposure to a security-conscious or regulated environment where infrastructure changes go through a formal review or approval process. Familiarity with LLM-specific cost drivers (token pricing, tool-call volume, model tiering) even if it wasn't the primary focus of a past role. #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.