Senior DevOps Engineer (AWS)
TypeFull-time job
LocationUkraine
Posted3 hours ago
Description
We are looking for Senior DevOps Engineer to join its in-house platform team (team of 5) as an embedded offshore engineer. You will own Kubernetes workloads on AWS, GitOps delivery with ArgoCD, CI/CD pipelines, and the observability stack and treat internal dev teams as your customers. The role includes an on-call rotation.
Requirements
Must-have:
5+ years hands-on DevOps experience in cloud-based environments, ideally in startups / scale-ups serving large enterprise customers.
Kubernetes in production (EKS): workload management, networking, troubleshooting.
ArgoCD / GitOps and CI/CD pipelines (e.g. GitHub Actions): build, maintain, extend and debug independently; able to walk through real CI/CD flows you designed.
Observability: hands-on ELK stack (Elasticsearch, Logstash/Fluentd, Kibana) and Grafana — writing alerts, dashboards and runbooks. Datadog, Coralogix or Groundcover a plus.
Terraform (IaC) in production.
AWS: EKS, RDS, MSK, SQS/SNS, Lambda.
Scripting in Python and Bash.
Nice-to-have:
Kafka, MongoDB, Redis or SingleStore.
Pulumi or Flux.
Basic FinOps / cloud cost awareness.
AI-driven approach: uses AI tooling day to day to reduce toil and automate work.
Originally posted on Himalayas
We are looking for Senior DevOps Engineer to join its in-house platform team (team of 5) as an embedded offshore engineer. You will own Kubernetes workloads on AWS, GitOps delivery with ArgoCD, CI/CD pipelines, and the observability stack and treat internal dev teams as your customers. The role includes an on-call rotation.
Requirements
Must-have:
5+ years hands-on DevOps experience in cloud-based environments, ideally in startups / scale-ups serving large enterprise customers.
Kubernetes in production (EKS): workload management, networking, troubleshooting.
ArgoCD / GitOps and CI/CD pipelines (e.g. GitHub Actions): build, maintain, extend and debug independently; able to walk through real CI/CD flows you designed.
Observability: hands-on ELK stack (Elasticsearch, Logstash/Fluentd, Kibana) and Grafana — writing alerts, dashboards and runbooks. Datadog, Coralogix or Groundcover a plus.
Terraform (IaC) in production.
AWS: EKS, RDS, MSK, SQS/SNS, Lambda.
Scripting in Python and Bash.
Nice-to-have:
Kafka, MongoDB, Redis or SingleStore.
Pulumi or Flux.
Basic FinOps / cloud cost awareness.
AI-driven approach: uses AI tooling day to day to reduce toil and automate work.
Originally posted on Himalayas
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