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.

JOB REQUIREMENTS:

Must have: 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
• 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.

Nice to have: 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

Responsibilities:

• 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

PROJECT

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.

Work Schedule:

Full-time remote working day with flexible hours

Interview stages:

1. 1-st stage — Call with the Recruiter
2. 2-nd stage — Interview with the technical specialist and the recruiter
3. 3-rd stage — Technical interview with the client

Benefits:

• Projects with modern stack
• Work from anywhere (fully remotely or in our office)
• Strong JavaScript community at the company

* Some elements of our recruitment process are supported by AI tools, while all candidate evaluations remain the responsibility of our recruitment team.

Recruiter — Anastasiia Vaskiv