Sr. Staff Engineer, Agentic AI

Posted 4 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Cloud • Security • Software • Cybersecurity
The Role
Designs and operates scalable Python backend services on AWS, architects distributed systems, and leads delivery across the full lifecycle. The role applies AI-native development practices, partners with product and customers, resolves production issues, and improves observability, reliability, CI/CD, and developer tooling. Nice-to-have work includes production LLM agents, orchestration frameworks, infrastructure as code, and streaming systems.
Summary Generated by Built In
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.

Skills Required

  • 12+ years of software development experience, including enterprise-grade backend systems
  • Expert-level Python experience building production backend services and REST APIs
  • Deep AWS and cloud architecture experience, including compute, storage, networking, messaging, IAM, and managed data services
  • Strong distributed systems fundamentals, including scalability, fault tolerance, concurrency, data consistency, and event-driven or asynchronous architectures
  • Knowledge of relational and NoSQL databases and data stores, including OLTP and OLAP
  • Hands-on Docker and Kubernetes experience
  • Daily hands-on experience with Claude Code or similar agentic coding tools, including decomposing work, critically reviewing output, and maintaining quality, security, and maintainability
  • Strong analytical and troubleshooting skills
  • BSCS or equivalent
  • Production LLM agent development experience, including LangGraph, ReAct-style reasoning, tool-use loops, planning, sub-agents, and long-running tasks
  • Experience with observability tooling and SLO-driven operations
  • Experience with Terraform, AWS CDK, or CloudFormation
  • Experience with Kafka, Kinesis, SQS, or SNS
  • MSCS or equivalent

Netskope Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netskope and has not been reviewed or approved by Netskope.

  • Fair & Transparent Compensation — Pay is considered competitive in U.S. technical roles, with indications that total compensation benchmarks strongly versus peers. Employees are generally pleased with total compensation that includes pay, stock, equity, and benefits.
  • Healthcare Strength — Health coverage offers multiple medical plan choices alongside dental, vision, disability, HSA/FSA, and EAP, and is often characterized as very good. Employer-verified plan options and regional choices reinforce the breadth and quality of coverage.
  • Leave & Time Off Breadth — Time off includes flexible/unlimited PTO, paid holidays, and quarterly wellness days that support rest and flexibility. Paid parental leave is available, commonly cited at 12 weeks for birth parents and 8 weeks for non‑birth parents.

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The Company
HQ: Santa Clara, CA
1,479 Employees
Year Founded: 2012

What We Do

Netskope, the SASE leader, safely and quickly connects users directly to the internet, any application, and their infrastructure from any device, on or off the network. With CASB, SWG, and ZTNA built natively in a single platform, the Netskope Security Cloud provides the most granular context, via patented technology, to enable conditional access and user awareness while enforcing zero trust principles across data protection and threat prevention everywhere. Unlike others who force tradeoffs between security and networking, Netskope’s global security private cloud provides full compute capabilities at the edge. Netskope is fast everywhere, data-centric, and cloud-smart, all while enabling good digital citizenship and providing a lower total-cost-of-ownership.

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