Senior DevOps Engineer (DWH/ML Platform)

Requirements: Stack: Core Infra: AWS (EKS, VPC, IAM, Organizations). IaC: Terragrunt (Terraform), modular architecture, multi-account. CI/CD: GitLab CI. Compute & Query: Trino, Apache Spark. Storage: S3 (Data Lake, Apache Iceberg), ClickHouse, ScyllaDB. Orchestration: Apache Airflow (Kubernetes Executor). Observability: Prometheus / VictoriaMetrics, Grafana. Deployment: Helm, GitOps (ArgoCD). IdP / SSO: Authentik, AWS Identity Center. Kubernetes (Expert level): You don't just use ready-made manifests, but understand the internals of EKS, can write your own Helm charts from scratch, and debug complex issues (OOMKilled, Pending pods, PVC issues, networking). IaC: Ability to structure code for multiple environments (dev/stage/prod). GitLab CI: Deep understanding of .gitlab-ci.yml, experience setting up pipelines with complex logic. AWS: Understanding of network interaction and rights management (IAM Policies/Roles, IRSA). Experience operating a Big Data stack: one of Trino (Presto)/Spark/Airflow. It will be a big plus if you have already worked or would like to try using in the future: ScyllaDB/Cassandra. Solr/Elasticsearch. MLOps (MLflow/Feast/KServe). GitOps (ArgoCD/Flux). Apache Iceberg / Data Lake. Mandatory language proficiency: Russian-B2. English-B1.

**Location:**📍Remote. Uzbekistan, Tashkent.

**Contact for application: **recruiter contact