Senior Site Reliability Engineer (Night Shift)

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters. Check out this blog to learn more about how we are impacting the world's most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC Resilinc | Innovation with Purpose. Intelligence with Impact. We are looking for an experienced Site Reliability Engineer (SRE) to join our team. The ideal candidate will be responsible for ensuring high availability, scalability, performance, and reliability of our platform while driving automation and operational excellence across cloud-native environments. This role offers an opportunity to work at the core of production reliability for a globally used platform. The position is being created to establish dedicated India-based night-time SRE coverage aligned with US business hours, addressing a critical support gap. The SRE will play a key role in owning production incidents, improving system reliability, reducing MTTR, and driving automation across a modern cloud-native stack (Azure, Kubernetes, Kafka, etc.). This is a high-impact role with direct visibility into business-critical operations and opportunities to work on large-scale distributed.