Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
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 ClickHouse 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.
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