Senior Software Engineer

The Role We are looking for a Senior Software Engineer 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.

Requirements

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 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.