Senior Engineer (Platform)

Simbian, Inc.
United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Software as a Service Cloud Computing Software Quality Code Review Software Debugging Distributed Systems Python (Programming Language)
+14 more
Software Architecture Role-Based Access Control Security Information and Event Management Software Engineering ReactJS Large Language Models Multi-Agent Systems Backend Build Management Information Technology Front End Software Development Docker Security Orchestration, Automation & Response SDET

Job description

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.

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 & conditions

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.

Apply for this position

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Good distractions

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