Senior DevOps Engineer

We are looking for a talented Senior DevOps Engineer to take ownership of our cloud platform. You will make decisions, execute, and deliver outcomes that engineering, product, and security teams can rely on.

• 5+ years of relevant experience;
• Hands-on expertise across our core stack:
  • Cloud & AWS: AWS, EKS, ECS, Lambda, Batch, S3, ECR, RDS, VPC, CloudFront, SNS, SQS, IAM, SCP, AWS Workspaces
  • Kubernetes & Orchestration: EKS, ArgoCD, Argo Events, Helm, Karpenter, KEDA, Cilium, Linkerd, ECS
  • Infrastructure as Code: Terraform
  • Data & Streaming: Kafka, Flink, Cassandra, StarRocks, EMR, Valkey, OpenSearch
  • Observability: Prometheus, Mimir, Loki, Tempo, OpenTelemetry, Grafana, Alloy
  • Edge & CDN: Cloudflare, CloudFront
  • Security & Access: Vault, Cloudflare Zero Trust, WARP, JumpCloud (SCIM)
  • CI/CD & Developer Tooling: GitLab, ECR, Harbor
  • Service Mesh / RPC: gRPC, Protobuf, Linkerd, Cilium
  • Feature Flags & Product Infra: GrowthBook
• Comfort making decisions independently and moving work forward with minimal oversight;
• Clear, concise written and verbal communication; effective across distributed teams;
• Practical fluency with modern AI tools (Claude, Cursor, Copilot, agents) as part of daily work;
• Upper-Intermediate or Advanced English.

• Familiarity with Karpenter, Cilium, Helm, KEDA, GitOps, Flink, StarRocks, EMR, OpenSearch, Valkey, Prometheus, OpenTelemetry, k6, Vault, Boundary, Zero Trust, mTLS, SCIM, Linkerd, or eBPF networking

• →Own infrastructure design, delivery, and operations across our cloud platform
• →Operate production environments spanning multiple AWS accounts and EKS clusters
• →Partner with engineering, product, security, and data teams to deliver reliable solutions
• →Drive observability, reliability, cost efficiency, and developer experience
• →Integrate AI tooling into day-to-day engineering workflows

The project is a social network that runs without ads, giving users control over their own feeds and offering creative communities room to grow. You'll be working alongside an experienced Data Architect and a solid engineering team, on a project built with a modern tech stack that handles large-scale, real-time data processing.

• 1-st stage — Call with the Recruiter

• 2-nd stage — Interview with the technical specialist and the recruiter

• 3-rd stage — Technical interview with the client