DevOps / Data Engineer (AWS)

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