Who We Are To be the cybersecurity partner of choice, we must blaze a trail and shape the future of our industry. Our employees work toward this every day, guided by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. This role is remote, but distance is no barrier to impact — our teams collaborate across geographies to solve big problems and ship together.

Job Summary The Netsec Center of Excellence, part of Technical Services, builds the platforms and tooling our engineers use to deliver for customers — assessing deployments, prescribing improvements, and delivering security outcomes across NGFW, Prisma Access, SD-WAN, and related products. We are looking for senior full-stack engineers who build and ship with AI coding agents as their primary way of working: designing the system, directing agents through it, reviewing what they produce, and owning the result in production. In this role, you will set the bar for how the team engineers with AI, not just meet it.

Your Impact

Own production features end to end across the API, data layer, front end, and infrastructure of Technical Services platforms and tooling that support customer delivery

Lead technical design for significant features: model the domain, set the boundaries and contracts, and drive the work from design through production

Use Claude Code and other coding agents as a daily engineering tool — planning, implementation, test generation, and refactoring — while staying accountable for every line that merges

Author and maintain advanced agent workflows and reusable agent skills that make the whole team faster,



not just yourself

Run agent-assisted code review as part of the merge path, review other engineers' work, and know when an agent's confident answer is wrong

Build and harden GitLab CI pipelines: quality gates, coverage enforcement, supply-chain controls and automated deployment to Google Cloud

Take features to production on GKE, including observability, rollout and incident follow-through

Test platform and tooling changes against live Palo Alto Networks products and lab environments — validating behavior against real NGFW,

Prisma Access and SD-WAN deployments before it reaches the engineers who rely on it

Mentor engineers on agent-driven development practices and set the engineering standards the team builds to

Contribute to wider Technical Services automation as priorities shift

Qualifications

5–7 years of professional software development experience, preferred, with a track record of shipping full-stack software to production on real-world projects

Experience leading technical design and delivery of production systems, including owning outcomes after launch

Hands-on experience building LLM-backed features and tool-use agents — designing the tools, wiring the agent loop, and evaluating the results

Has followed generative AI closely since it broke into the mainstream in 2022,



and has put each wave of models and coding agents into practice rather than watching from the sidelines

Demonstrated proficiency with Claude Code or comparable AI coding agents, including multi-step workflows, custom skills or tooling, and agent-driven code review

Proficiency in TypeScript, JavaScript, and Python; experience with the Bun runtime strongly preferred

Production experience on Google Cloud — GKE, Cloud SQL, IAM and related services

Experience designing and operating GitLab CI pipelines

Intermediate network and security engineering knowledge — not your primary skill, but enough to stand up and test against firewalls, SASE and SD-WAN, and to understand the routing, policy and threat-prevention behavior our tooling assesses

Command of structured programming and software design first principles: separation of concerns, clear interfaces, testability, and knowing what not to build A track record of owning quality when an agent wrote the first draft — tests, review, and production verification rather than trusting a green build

Transparent written communication; comfortable working asynchronously across time zones

Nice to have

Experience with Hono, Zod, Drizzle, React or Vite

Hands-on experience with Palo Alto Networks products such as PAN-OS, Panorama, Prisma Access, or Strata Cloud Manager, or a network security certification such as PCNSE

Experience building evaluation harnesses for LLM output quality

Education

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Pay: ₹30,000.00 - ₹40,000.00 per month

Work Location: In person

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