Site Reliability Engineer (SRE) – Regional Multi Project Platform

The role involves managing cloud infrastructure and platform reliability for large-scale distributed systems. Key responsibilities include designing and managing cloud infrastructure (AWS, OpenStack), implementing Infrastructure as Code (Terraform, Ansible, Kubernetes), ensuring high availability and scalability, managing CI/CD pipelines, and operating data/streaming platforms (Kafka, NiFi, Elasticsearch). The role also involves integrating AI-assisted automation and LLM-based agent frameworks into operational workflows to improve reliability and reduce manual toil.

[ * Design, build, and manage cloud infrastructure with a primary focus on AWS, integrated with OpenStack environments * Build and maintain Infrastructure as Code using: Terraform, Ansible, Kubernetes (manifests / Helm) * Design infrastructure solutions for: Scalability, High availability, Performance, Reliability, Cost efficiency * Implement redundancy, failover, and disaster-recovery patterns across services and regions * Perform capacity planning based on performance metrics, usage trends, and utilization data * Operate and scale production Kubernetes clusters in large-scale environments * Partner with development and QA teams to: Improve system reliability and resiliency, Automate scalability and availability mechanisms * Apply SRE principles including: Service reliability ownership, Proactive failure prevention, Continuous improvement of operational processes * Support microservices-based and distributed system architectures * Manage and evolve CI/CD pipelines (e.g., Jenkins) * Automate infrastructure provisioning, configuration, and lifecycle management * Write, maintain, and improve runbooks for operational processes * Build automation to reduce manual intervention and operational toil * Plan and execute infrastructure upgrades and maintenance activities * Proactively identify and address technical and infrastructure debt * Operate, tune, and scale data and streaming platforms, including: Kafka, Zookeeper, NiFi, Elasticsearch, MySQL, Vertica * Diagnose and resolve performance and stability issues across data pipelines * Ensure data platform reliability, throughput, and resilience at scale * Design and maintain knowledge-driven automated runbooks and operational bots * Develop AI-assisted operational workflows, including: Incident analysis and summarization, Intelligent diagnostics and remediation suggestions, Automation of repetitive operational decision-making * Work with LLM-based agent frameworks (e.g., Claude Agent SDK or similar): Integrate agents with logs, metrics, monitoring, and internal tools, Implement guard-railed, controlled-action automation for production use * Research and propose new concepts, tools, and AI-driven approaches to improve reliability and efficiency * Design and operate monitoring and observability systems using: Prometheus, Grafana, ELK stack * Improve alert quality, signal-to-noise ratio, and troubleshooting efficiency * Lead incident response activities, root cause analysis, and post-incident reviews * Support software engineers in debugging complex production issues across distributed systems * Embed reliability, automation, and operational readiness into system design ]