• Architect and maintain self-healing systems with 99.9%+ availability targets. • Use AI/ML to automate infrastructure governance and detect configuration or IaC anti-patterns. • Implement adaptive SLIs/SLOs that evolve automatically from real-time data. • Build AIOps-based observability and auto-remediation pipelines. • Apply predictive modeling to forecast failures before they impact users. • Lead chaos, performance, and resilience testing programs. • Map platform and service behavior to revenue impact and drive improved revenue resilience through better infrastructure performance. • Mentor engineers and drive reliability standards across teams. • Partner with platform, data, and product teams to ensure stability aligns with business goals. • Support major incident response, incident review, and participate in on-call rotations.

• You will be responsible for the availability and integrity of the infrastructure that underpins Alkira’s Cloud Networking platform • You hold the production systems together; troubleshoot issues that arise in production deployment • Provide 24x7 coverage as a part of scheduled shift and on-call rotation • Work with multiple tools like Prometheus, Grafana, Jira etc. to monitor, manage, triage and document infrastructure issues in real time • Automate infrastructure deployment using CI/CD • Build necessary tools to evolve how we maintain and monitor our solution • Develop and execute system and integration test plans

• Own the reliability, performance, and operational health of production AI systems, focusing on improving complex, existing services. • Lead efforts to refactor and harden the AI codebase to improve observability, maintainability, and resilience. • Diagnose and resolve issues across distributed systems, including latency, throughput, data pipelines, and resource utilization. • Design and build monitoring, alerting, and debugging tools for high-availability services. • Partner with researchers and ML engineers to productionize models at scale. • Establish best practices for testing, deployment, capacity planning, and incident response. • Serve as a technical leader during on-call rotations, driving incident response, postmortems, and continuous system improvements.

• Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. • Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. • Designing, building, and operating our data center to support our rapidly growing Machine Learning team. • Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. • Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. • Participating in platform on-call rotations and assisting with urgent incident response.