SRE

Introduction:

We are looking for a highly skilled Site Reliability Engineer (SRE) to join a fast-paced engineering team focused on building and scaling next-generation infrastructure platforms. This role offers the opportunity to work across Kubernetes, cloud infrastructure, AI-enabled operations, and modern DevOps ecosystems.

Responsibilities:

• Design, build, and manage large-scale multi-cluster Kubernetes platforms across cloud and on-prem environments.
• Develop and maintain controllers, CRDs, ingress, DNS, and TLS automation to support scalable infrastructure provisioning.
• Build and secure platform microservices including CI/CD pipelines, SSO, RBAC, secret management, and monitoring workflows.
• Integrate AI-driven tooling and automation into operational workflows to improve platform scalability and efficiency.
• Own end-to-end production release management including Helm deployments, multi-architecture container builds, staged rollouts, and rollback strategies.
• Implement observability, audit logging, analytics, and automation to support high-scale production operations.

Requirements:

Required Qualifications:

• 6+ years of hands-on DevOps/SRE experience supporting production Kubernetes environments.
• Strong expertise with Kubernetes operators, CRDs, ingress controllers, and cluster networking.
• Experience integrating AI tools and automation into engineering workflows.
• Strong programming skills in Python or Go, along with working knowledge of TypeScript/React.
• Solid experience with AWS or similar cloud platforms, OIDC/SAML authentication, and secret management solutions.
• Strong understanding of relational databases, caching technologies, and asynchronous communication patterns such as WebSockets, SSH tunneling, and message queues.
• Proven experience building internal developer platforms and enterprise CI/CD pipelines.
• Bachelor’s or Master’s degree in Computer Science or related field.

Preferred / Nice to Have:

• Experience with Linux administration, multi-tenant platforms, virtual machines, and Kubernetes orchestration.
• Deep understanding of agentic AI workflows, developer tooling, CLI frameworks, and MCP ecosystems.
• Experience building AI-assisted operational tooling including anomaly detection, automated runbooks, and LLM-powered operations workflows.
• Hands-on expertise with Jenkins, GitLab CI, ArgoCD, Flux, Prometheus, Grafana, VictoriaMetrics, Datadog, Splunk, or Kibana.
• Strong documentation and troubleshooting mindset with a passion for creating scalable operational runbooks and knowledge bases.