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Senior Engineer (Platform)
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
6years
Experience Required:
Posted:
24 August 2026 (3 days ago)
Posted:
Application Deadline:
21 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
The Role
We are looking for a Senior Engineer (Platform) to build the enterprise platform that Simbians 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. Youll work closely with product security and AI engineering teams to ensure the platform keeps pace with a rapidly evolving product.
What Youll 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 610 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 teams 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
- 610 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.
Required Skills:
Senior Engineer
