Senior Engineer (Platform)

The Role

We are looking for a Senior Engineer (Platform) to build the enterprise platform that Simbian's AI agents run on. This role is about delivering platform infrastructure that enterprise customers can depend on - multi tenant architecture, access control, release quality, and the engineering practices that make all of it sustainable at scale. You will design and build core platform features, ship on a predictable cadence, and raise the engineering bar across the team. You'll work closely with product, security, and AI engineering teams to ensure the platform keeps pace with a rapidly evolving product.

What You'll Do

Platform Engineering

- Design and build multi-tenant platform capabilities that securely isolate and serve multiple enterprise customers at scale.

- Implement and evolve RBAC and access-control systems across the platform.

- Own platform features end-to-end - from architecture and implementation through deployment, monitoring, and iteration in production.

- Build for reliability, observability, and maintainability from the start.

Delivery & Release Quality

- Ship on a regular release cadence; keep delivery predictable and visible to the team.

- Maintain high code quality: participate actively in design reviews, hold the bar in code reviews, and write well-tested code.

- Partner with the SDET on testability - ensure new features are built in ways that make automated testing straightforward.

- Identify and reduce sources of unpredictability in the release process

Cloud & Infrastructure

- Build and deploy services on AWS using Docker and Kubernetes.

- Work with CI/CD pipelines to make deployments reliable and fast.

- Design systems with strong observability, traceability, and monitoring so failures are easy to detect and debug.

Cross-functional Collaboration

- Work across a full-stack web codebase; contribute on both backend and frontend where needed.

- Partner with product, AI engineering, and security teams to turn platform requirements into working systems.

- Contribute to architectural decisions as the platform evolves and scales.

You Might Be a Good Fit If You

- Have 6–10 years of software engineering experience, with a strong track record in backend or full-stack platform development.

- Have built multi-tenant or SaaS platforms before and understand the tradeoffs involved in getting isolation, performance, and access control rights.

- Care about delivery as much as design - you ship consistently and hold yourself accountable for the team's cadence.

- Raise the engineering bar naturally: you give useful code review feedback, flag design issues early, and write code others can build on.

- Are comfortable operating with autonomy - scoping work, making tradeoffs, and driving execution without needing detailed specs.

- Enjoy working across a codebase and collaborating closely with teammates across disciplines.

Must Have

- 6–10 years of professional software engineering experience.

- Strong backend development experience, preferably with Python; full-stack experience a plus.

- Proven experience building multi-tenant or SaaS platforms at scale.

- Hands-on experience with RBAC or similar access-control systems.

- Solid grasp of CI/CD pipelines and cloud deployment on AWS with Docker and Kubernetes.

- Strong fundamentals in distributed systems, APIs, and backend architecture.

- Ownership mindset and ability to drive features from zero to production. - Strong instincts around code quality, testability, and engineering practices.

Bonus / Great to Have

- Experience with security products - SIEM, SOAR, EDR, NDR, or similar enterprise security platforms.

- Experience working with LLM-powered or agentic systems.

- Frontend experience with React.

- Experience with agent observability, tracing, or production monitoring.

- Strong academic background in Computer Science or a related field; graduates from IITs or other top tier engineering institutions preferred

- Build the enterprise platform that an AI-first cybersecurity product runs on - from the ground up.

- Work at the intersection of AI, cybersecurity, and distributed systems.

- Own meaningful platform problems end-to-end and see your work go directly into production.

- Work directly with founders, researchers, security experts, and engineering leaders.

- Be part of an early team where your technical decisions and ideas can have outsized impact.

- Ship fast, learn fast, and build systems that matter.