Senior Lead Site Reliability Engineer
- Compensation
- Not disclosed
- Location
- Chennai; Pune
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Sre
- Posted
Skills
Full description
Senior Lead Site Reliability Engineer (SRE)
We are seeking a highly experienced Lead Site Reliability Engineer (SRE) with a strong background in Cloud, Kubernetes, Automation, Observability, and Production Operations - combined with a keen architectural perspective. In this role, you will not only drive reliability improvements and operational excellence initiatives but also play a key part in designing and evolving robust, scalable, and modern platforms.
You will interact daily with clients and stakeholders to understand technical requirements, architect solutions, and guide platform modernization efforts. Your engineering mindset, passion for automation, and ability to leverage AI-powered tools will be critical in shaping the reliability and efficiency of our infrastructure and applications.
Responsibilities :
- Define, architect, and drive SRE best practices - including SLIs, SLOs, error budgets, and operational excellence initiatives.
- Work closely with cross-functional teams to architect, design, and continuously improve system reliability, scalability, and performance.
- Lead incident management, root cause analysis (RCA), problem management, and postmortem reviews.
- Architect and drive automation and self-healing capabilities to reduce operational toil.
- Mentor engineering teams on observability, reliability engineering, cloud-native technologies, and production readiness.
- Define and implement end-to-end observability strategy across infrastructure, platform, and applications.
Technical Stack :
- Cloud/Orchestration: AWS, Docker, Kubernetes, Helm.
- IaC: Terraform, CloudFormation.
- Observability: Dynatrace, Splunk, Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry.
- CI/CD/GitOps: Git, GitLab CI, Jenkins, GitHub Actions, ArgoCD.
- Scripting: Shell, Bash, Python.
Soft Skills:
- Excellent communication and stakeholder engagement skills.
- Ability to translate technical concepts for both technical and non-technical audiences.
- Strong analytical and problem-solving skills.
- Ownership-driven mindset with a willingness to explore new AI capabilities.