Senior Software Engineer

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

📋 Description

• Design and develop multi-tenant platform features that securely isolate and support multiple enterprise clients at scale.

• Implement and refine RBAC and access-control frameworks throughout the platform.

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

• Focus on reliability, observability, and maintainability from the outset.

• Deliver on a consistent release schedule, ensuring that project timelines are predictable and transparent to the team.

• Engage in design reviews, contribute to code evaluations, and produce well-tested code.

• Collaborate with the SDET on enhancing testability and automating tests.

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

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

• Enhance CI/CD pipelines to ensure reliable and rapid deployments.

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

• Contribute to a comprehensive web codebase, supporting backend and frontend development as required.

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

• Participate in architectural decisions as the platform matures and expands.

⛳️ Requirements

• 6–10 years of software engineering experience, showcasing a robust background in backend or full-stack platform development.

• Experience in developing multi-tenant or SaaS platforms, with a clear understanding of isolation, performance, and access-control tradeoffs.

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

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

• Practical experience with RBAC or comparable access-control systems.

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

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

• A mindset of ownership with the capability to drive features from inception to production.

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

• Experience with security products such as SIEM, SOAR, EDR, NDR, or other similar enterprise security platforms is a plus.

• Familiarity with LLM-powered or agentic systems is an added advantage.

• Frontend experience with React is a bonus.

• Experience with agent observability, tracing, or production monitoring is a bonus.

• A solid academic background in Computer Science or a related discipline; graduates from IITs or other prestigious engineering institutions are preferred.

🏝️ Benefits

• Build the enterprise platform that powers an AI-first cybersecurity product from the ground up.

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

• Take ownership of significant platform challenges from start to finish and witness your contributions directly in production.

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

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

• Ship quickly, learn rapidly, and construct systems that truly matter.