Location

USA

Working model

Hybrid/Onsite

Employment type

Full-time, Contract or Freelance

Responsibilities
  • Build and maintain CI/CD pipelines using GitHub Actions and Bitbucket Pipelines
  • Develop and manage Infrastructure as Code using Terraform and AWS CDK
  • Manage and optimize core AWS services including EC2, S3, Lambda, RDS, and API Gateway
  • Deploy and support containerized applications using Docker and Kubernetes/OpenShift
  • Develop and maintain data pipelines and ETL workflows in Python and SQL
  • Work with Databricks or similar platforms for data processing and analytics
  • Implement DevSecOps practices including SAST and secrets management with HashiCorp Vault
  • Build and maintain monitoring and observability solutions using Grafana
  • Troubleshoot incidents and drive continuous improvement in system performance and reliability

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 3–7 years of experience in DevOps, cloud engineering, or data engineering
  • Strong hands‑on experience with AWS and DevOps practices
  • Proficient in Python for automation and data processing
  • Hands‑on with Terraform and AWS CDK for infrastructure management
  • Experience with CI/CD tools: GitHub Actions, Bitbucket, or Bamboo
  • Experience with Docker and Kubernetes/OpenShift
  • Solid knowledge of data pipelines, ETL, and analytics workflows
  • Familiarity with monitoring tools such as Grafana and incident management practices
  • Bonus: Databricks, event‑driven architecture, Power BI, Generative AI/RAG/LLM, Terramate, or cloud/DevOps certifications

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DevOps / Data Engineer (AWS)

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