Senior Site Reliability Engineer - DevOps

Job Description

As a Senior Site Reliability Engineer (SRE) , you will be responsible for the reliability, scalability, and observability of our DevOps ecosystem. This includes CI/CD systems, Kubernetes clusters, infrastructure automation, and telemetry platforms. You will work closely with development, QA, and operations teams to build resilient systems and ensure continuous improvement of reliability standards.

Key Responsibilities:

• Own and manage DevOps components and tooling across 100+ production environments.
• Administer, scale, and optimize Kubernetes clusters used for application and infrastructure workloads.
• Implement and maintain observability stacks including Prometheus, OpenTelemetry (OTel), Elasticsearch, and ClickHouse for metrics, tracing, and log analytics.
• Ensure high availability of CI/CD pipelines and automate infrastructure provisioning using Terraform and Ansible.
• Build alerting, monitoring, and dashboarding systems to proactively detect and resolve issues.
• Lead root cause analysis for incidents and drive long-term stability improvements.
• Collaborate with engineering teams to design systems that are reliable, secure, and observable by default.
• Participate in on-call rotations and lead incident response efforts when necessary.
• Advice the cloud platform team to improve the reliability of the systems in production and scale them based on need.
• Participate in the development process by supporting new features, services, releases and hold an ownership mindset for the cloud platform technologies .
• Expertise in one of the programming language: Java, Python or Go.
• Proficient in writing bash scripts.
• Good understanding of SQL and NoSQL systems.
• Good understanding of systems programming (network stack, file system, OS services) .
• Should have good handson on Ansible .
• Should be able to automate Day to day activities .

• Required Skills & Experience:
• 5+ years of experience in SRE, DevOps, or Infrastructure Engineering roles.
• Expertise in Kubernetes: deployment, scaling, troubleshooting, and operations in production.
• Strong Linux systems background and scripting skills (Python, Bash, or Go).
• Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or similar.
• Infrastructure-as-Code skills with tools like Terraform, Ansible, or equivalent.
• Solid knowledge of observability tools, including:
• Prometheus for monitoring and alerting
• OpenTelemetry (OTel) for tracing and telemetry
• Elasticsearch and Click House for log storage and analytics
• AppDynamics
• Experience with containerization (Docker) and orchestration at scale.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and hybrid-cloud architecture.
• Ability to debug and tune system performance under production load.