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, 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.
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-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
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
