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. RequirementsYou 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 Benefits- 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.