DevOps / Data Engineer (AWS)

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 #J-18808-Ljbffr Hashlist