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Salary
≈ $20k – $44k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 24, 2026.

Overview
Company
Impact
Profile match
Simbian builds artificial intelligence agents for security operations. Its platform automates detection engineering, triage and response tasks. The company runs public benchmarks for security agent performance.

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.

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