SRE Devops Manager

We are looking for Site Reliability Engineering (SRE) Devops Manager Location: Bangalore / Hyderabad / Chennai / Noida / Pune / Visakhapatnam / Gurgaon Shift timing: regular Can join Immediate - 30 days Interested candidates, Please share your profiles and below details to Email ID: Total experience: Relevant Experience: Current CTC: Expected CTC: Notice Period: If Serving Notice Period, Last working day: Email ID: Job Summary We are seeking an experienced Site Reliability Engineering (SRE) Manager to lead and evolve our cloud infrastructure, reliability practices, and automation strategy. This role blends hands-on technical leadership with strategic oversight to ensure scalable, secure, and reliable systems across AWS-based environments. As an SRE Manager, you will guide a team of DevOps and SRE engineers to design, build, and operate cloud-native platforms leveraging Kubernetes (EKS) , Terraform , and AWS DevOps tools . You will drive operational excellence through observability, automation, and AIOps—enhancing reliability, performance, and cost efficiency. You will collaborate closely with development, product, and security teams to define SLOs, manage error budgets , and continuously improve infrastructure resilience and developer productivity. Key Responsibilities Leadership & Strategy Lead, mentor, and grow a global team of Site Reliability and DevOps Engineers. Define and drive the reliability roadmap, SLOs, and error budgets across services. Establish best practices for infrastructure automation, observability, and incident response. Partner with engineering leadership to shape long-term cloud, Kubernetes, and AIOps strategies. Infrastructure & Automation Design, implement, and manage AWS cloud infrastructure using Terraform (advanced modules, remote state management, custom providers). Build and optimize CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, and CodeCommit. Manage EKS clusters with focus on scalability, reliability, and cost efficiency—leveraging Helm, ingress controllers, and service mesh (e.g., Istio). Implement robust security and compliance practices (IAM policies, network segmentation, secrets management). Automate environment provisioning for dev, staging, and production using Infrastructure as Code (IaC). Monitoring, Observability & Reliability Lead observability initiatives using Prometheus, Grafana, CloudWatch, and OpenSearch/ELK . Improve system visibility and response times by enhancing monitoring, tracing, and alerting mechanisms. Drive proactive incident management and root cause analysis (RCA) to prevent recurring issues. Apply chaos engineering principles and reliability testing to ensure resilience under load. AIOps & Advanced Operations Integrate AIOps tools to proactively detect, diagnose, and remediate operational issues. Design and manage scalable deployment strategies for AI/LLM workloads (e.g., Llama, Claude, Cohere). Monitor model performance and reliability across hybrid Kubernetes and managed AI environments. Stay current with MLOps and Generative AI infrastructure trends, applying them to production workloads. Manage 24/7 operations using apropos alerting tools and follow-the-sun model Cost Optimization & Governance Analyze and optimize cloud costs through instance right-sizing, auto-scaling, and spot usage. Implement cost-aware architecture decisions and monitor monthly spend for alignment with budgets. Establish cloud governance frameworks to enhance cost visibility and accountability across teams. Collaboration & Process Partner with developers to streamline deployment workflows and improve developer experience. Maintain high-quality documentation, runbooks, and postmortem reviews. Foster a culture of reliability, automation, and continuous improvement across teams.