About Netskope

Today, there’s more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Madrid, Melbourne, Taiwan and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers and follow us on Twitter @Netskope and Facebook. 

About the Role

As a member of the API Protection team you will work cross-functionally to build state-of-the-art cloud platforms to support our growing product portfolio. Specific responsibilities will include but not be limited to:

• Collaborate with high profile talents, coach, mentor and encourage growth and career progress of team members.
• Reviewing architectures and designs across the organization to help guide other engineers to build scalable cloud services
• Providing technical leadership and strategic direction for large-scale distributed cloud-native solutions
• Being a catalyst for improving engineering processes and ownership

Qualifications/Requirements

• 15+ years of software engineering experience including 8+ years experience with distributed systems
• Excellent Unix/Linux experience and programming experience with go, C/C++, java and scripting: python, ruby, shell
• Understanding of IPC mechanisms and previous experience working with: TCP/IP, Kafka, zmq, grpc, zookeeper.
• Strong background in cloud environments: containers, docker, kubernetes, etcd, zookeeper, service meshes, vault, istio and envoy, API gateways, load balancers.
• Experience with databases, general understanding of ACID, consistency, sql/nosql, key-value stores, time series and columnar databases.
• Experience in CI/CD, using tools like Drone, Github, Makefiles, etc.
• Experience with in-memory databases like Redis

Additional Skills

• Strong verbal and written communication skills. Communicate in an open, transparent and consistent manner with team and co-workers.
• Determined and ever ready to roll up sleeves to respond to the needs of customers proactively and promptly.
• Achievement orientated and willing to take responsibility for own actions.
• Believe in innovation and out-of-the box thinking to foster originality of ideas.

Education

• MS in Computer Science or equivalent technical degree

#LI-AW1

About the Role

The Foundation Engineering team powers the core infrastructure of the Netskope NewEdge platform. We build and operate the services responsible for propagating runtime configuration state across 100+ data centers in near real-time, and we develop foundational cloud microservices that handle billions of events at scale. We are looking for a Senior Engineering Manager to lead this team — someone who combines strong people leadership with deep technical judgment, and who embraces an AI-first approach to engineering.

In this role, you will own the team's delivery outcomes end-to-end: from architecture and design through production operations. You will build a high-performing team, drive execution rigor, and ensure the foundational services your team owns are resilient, scalable, and built to the highest engineering standards.

What's in It for You

You will lead a high-impact team at the heart of the Netskope platform. The systems your team builds are critical infrastructure that every other service in the product depends on. You will shape how the team adopts AI-first engineering practices, drive full lifecycle ownership from requirements through production, and have direct influence on the technical direction of foundational cloud services used across the organization.

What You Will Be Doing

People Leadership and Execution

• Manage, coach, and mentor a team of engineers. Drive career growth through regular 1:1s, performance reviews, and individualized development plans.
• Build and grow the team through hiring — define roles, run interviews, raise the bar on talent.
• Run agile ceremonies (standups, sprint planning, retrospectives) and maintain delivery cadence.
• Plan and manage work using agile methodologies. Track milestones, manage timelines, and ensure the team delivers on commitments.
• Collaborate closely with Product Management, Program Management, and peer engineering teams to align on priorities and execution plans.
• Establish and maintain engineering best practices: code review culture, test-driven development, and continuous improvement.
• Deliver regular progress reports and communicate status, risks, and decisions transparently to leadership.

Technical Leadership

• Drive the architecture and design of next-generation foundational cloud services, including config propagation, runtime state synchronization, and platform infrastructure.
• Ensure the scalability, reliability, and availability of the services your team owns across a global footprint of 100+ data centers.
• Evaluate and adopt open-source technologies that best fit our needs.
• Coordinate cross-team technical dependencies with other service teams, SRE, and support to ensure end-to-end system health.
• Maintain hands-on engineering credibility — review designs, unblock technical decisions, and set the quality bar for the team's output.

AI-First Engineering

• Champion AI-assisted development across the team. Drive adoption of AI tools for code generation, code review, testing, and documentation.
• Set and track AI adoption metrics — measure how AI tools accelerate delivery velocity, reduce toil, and improve code quality.
• Foster a culture of experimentation where the team actively explores new AI  capabilities and integrates them into daily engineering workflows.
• Use AI-first practices to reduce operational burden, improve on-call efficiency, and raise the team's overall engineering leverage.

Required Skills and Experience

• A minimum of 15+ years of software development experience with 5+ years in an engineering management role leading teams of 8+ engineers.
• A proven track record of building high-performance engineering teams and defining effective processes that accelerate delivery with high quality.
• Demonstrable technical accomplishments and earned engineering credibility in distributed systems, microservices, and cloud infrastructure.
• Programming proficiency in Go (primary) and Python. Familiarity with C/C++ is a plus.
• Experience building or operating config management, data synchronization, or infrastructure services at scale is a plus.
• Hands-on experience with AI-assisted development tools and a track record of driving AI adoption within engineering teams.
• Experience with agile/scrum methodologies and sprint management.
• Strong cross-functional collaboration skills — ability to work effectively with Product Management, Program Management, SRE, and peer engineering teams.
• Excellent verbal and written communication skills, with the ability to communicate transparently and consistently with both technical and non-technical stakeholders.
• A strong customer focus and willingness to roll up your sleeves to respond to production needs promptly.

Nice to Have

• Experience in cybersecurity or network security technologies.
• Experience with Kubernetes and containerized deployments at scale.
• Familiarity with observability practices, monitoring, and on-call operations.
• Track record of reducing operational toil through automation and AI-driven tooling.
• Experience working with remote teams across multiple countries and time zones.

Education

BS in Computer Science or equivalent technical degree required. MS in Computer Science is strongly preferred.

#LI-SC1