Senior Engineer, Platform

This is a fully remote position, open to applicants in India.

📋 Description

• Design and develop capabilities for a multi-tenant platform that securely isolates and serves numerous enterprise customers at scale.

• Implement and enhance role-based access control (RBAC) and access control systems throughout the platform.

• Take ownership of platform features from architecture and implementation to deployment, monitoring, and iterative production improvements.

• Focus on reliability, observability, and maintainability in all builds.

• Deliver on a consistent release schedule, ensuring predictability and visibility in the delivery process.

• Engage in design and code reviews, producing well-tested code.

• Collaborate with the Software Development Engineer in Test (SDET) on testability and automated testing.

• Identify and mitigate sources of unpredictability in the release workflow.

• Build and deploy services on AWS utilizing Docker and Kubernetes.

• Enhance CI/CD pipelines for dependable and swift deployments.

• Design systems with observability, traceability, and monitoring for effective failure detection and debugging.

• Contribute across a full-stack web codebase, assisting in both backend and frontend development as necessary.

• Collaborate with product, AI engineering, and security teams to translate platform requirements into functional systems.

• Play a role in architectural decisions as the platform evolves and scales.

⛳️ Requirements

• 6–10 years of professional experience in software engineering.

• Strong background in backend development, ideally with Python; experience in full-stack development is an advantage.

• Demonstrated experience in building multi-tenant or SaaS platforms at scale.

• Practical experience with RBAC or similar access control systems.

• Solid understanding of CI/CD pipelines and cloud deployment on AWS using Docker and Kubernetes.

• Strong foundational knowledge of distributed systems, APIs, and backend architecture.

• Ownership mentality with the capability to drive features from concept to production.

• Strong instincts regarding code quality, testability, and engineering best practices.

• Experience with security products such as SIEM, SOAR, EDR, NDR, or comparable enterprise security platforms is advantageous.

• Familiarity with LLM-powered or agentic systems is a plus.

• Frontend experience with React is a plus.

• Experience in agent observability, tracing, or production monitoring is beneficial.

• A strong academic background in Computer Science or a related discipline is preferred; graduates from IITs or other top-tier engineering institutions are favored.

🏝️ Benefits

• Build the foundational enterprise platform that an AI-first cybersecurity product operates on.

• Work at the convergence of AI, cybersecurity, and distributed systems.

• Take ownership of significant platform challenges from start to finish and watch your work directly impact production.

• Collaborate closely with founders, researchers, security specialists, and engineering leaders.

• Join an early-stage team where your technical decisions and ideas can create a substantial impact.

• Move quickly, learn rapidly, and develop systems that truly matter.