Sr. Staff Engineer, Agentic AI
Netskope
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
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 team
We are seeking an exceptional Engineer to build next-generation security analytics and AI-powered capabilities within Netskope's platform. This is a high-impact individual contributor role for an engineer who excels at solving complex technical problems at the intersection of artificial intelligence, large-scale data systems, and cybersecurity.
As a Sr.Staff Engineer, you will own the architecture and delivery of cloud services that handle large volumes of data and traffic for enterprise customers. You’ll set technical direction, raise the engineering bar for the team, and ship.
What's in it for you
This is your chance to work at the absolute intersection of Artificial Intelligence, large-scale Data Systems, and Cybersecurity. You won't just use existing tools; you will be designing and implementing sophisticated, cutting-edge systems that fundamentally change how enterprises detect and respond to threats.
What you will be doing
- Design, build, and operate scalable, high-performance backend services in Python on AWS
- Architect distributed systems with sound tradeoffs across consistency, availability, latency, cost, and operational complexity
- Provide technical leadership across the full project lifecycle, from discovery and design through delivery and operations
- Use AI-native development workflows (Claude Code) to accelerate design, implementation, testing, code review, and debugging, and help the team develop effective practices for doing so
- Partner with product and customers to turn requirements into well-scoped, well-designed features
- Investigate and resolve production issues, and drive improvements to observability, reliability, and incident response
- Improve engineering processes, CI/CD, and developer tooling
Required skills and experience
- 12+ years of software development experience, including building enterprise-grade backend systems
- Expert-level Python, with strong experience building production backend services and REST APIs
- Deep experience with AWS and cloud architecture (e.g., compute, storage, networking, messaging, IAM, managed data services)
- Strong distributed systems fundamentals: scalability, fault tolerance, concurrency, data consistency, and event-driven or asynchronous architectures
- Solid knowledge of databases and data stores, both relational and NoSQL (OLTP and OLAP)
- Hands-on experience with Docker and Kubernetes
- Demonstrated fluency with AI-native development, including daily, hands-on use of Claude Code or similar agentic coding tools. You can describe how you decompose work for an AI agent, review and validate its output critically, and maintain quality, security, and maintainability while moving faster.
- Strong analytical and troubleshooting skills
- Comfort working in a fast-paced environment where you might lead a design one week and fix a critical bug or improve CI the next
Nice to have
- Hands-on experience building production LLM agents, including orchestration frameworks like LangGraph, ReAct-style reasoning and tool-use loops, and deep agent patterns (planning, sub-agents, long-running tasks)
- Experience with observability tooling and SLO-driven operations
- Experience with Infrastructure as Code (Terraform, CDK, CloudFormation)
- Experience with streaming and messaging systems (Kafka, Kinesis, SQS/SNS)
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.
About this role
Netskope is building AI-powered security analytics at enterprise scale, and this role puts you at the center of that effort. As a Sr. Staff Engineer in Bengaluru, you'll own the architecture and delivery of backend services that process massive volumes of data and traffic for Fortune 100 customers. The work spans distributed systems design, production Python services on AWS, and the operational challenges of keeping security-critical infrastructure reliable—all while setting technical direction for the team.
What makes this role distinctive is the explicit focus on AI-native development. You'll use Claude Code and similar agentic tools as core parts of your workflow, not as experiments. The expectation is hands-on fluency: decomposing work for AI agents, critically validating their output, and maintaining quality and security while moving faster. If you've spent the last decade building enterprise backend systems and are comfortable with Kubernetes, relational and NoSQL databases, and distributed systems tradeoffs, this is a natural next step. Experience with LLM agents, Kafka, or Infrastructure as Code strengthens your candidacy, though the core requirement is deep backend engineering chops combined with genuine facility using AI coding tools.
This is an in-office position in Bengaluru requiring a BS in Computer Science (MS preferred) and 12+ years of software development experience. The role demands someone who can move fluidly between architecture, implementation, and production firefighting—and who sees AI tooling as a genuine force multiplier rather than a threat.
How this employer is doing
solid
- H1B: Active Visa Sponsor
- Expanding
- Active Visa Sponsor
In the news
Netskope expands BT partnership for cloud security connectivity, Investing.com
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Sr. Staff Engineer, Agentic AI postings in Bengaluru Karnataka, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.