DevOps Engineer

Responsibilities:

• Design, implement, and manage CI/CD pipelines for microservices and data workloads
• Build and maintain cloud-native infrastructure (AWS/Azure/GCP) using Infrastructure as Code.
• Support deployment and orchestration of microservices-based applications (Docker, Kubernetes)
• Manage and optimize Databricks environments for data engineering and analytics workloads
• Automate operational workflows, monitoring, and alerting for high-availability systems
• Collaborate with development, data engineering, and platform teams to ensure seamless delivery
• Ensure security, compliance, and cost optimization across cloud resources
• Troubleshoot deployment, performance, and infrastructure issues

Requirements:

• B. S. in computer science or a related field, or equivalent work experience required. AWS certification is a plus.
• 5+ years of experience in DevOps and microservices.
• Proficiency in backup and recovery methodologies and techniques.
• Ability to diagnose problems and resolve issues across various tiers (application, database, network, and appliance).
• Adherence to SDLC, change management, troubleshooting, and development methodologies.
• Strong Unix/Linux and shell scripting.
• Ability to perform work with minimal supervisory direction.
• Excellent written and verbal communication skills.
• Experience with microservices architecture and distributed systems.
• Solid experience with Databricks (cluster management, job orchestration, integrations).
• Strong scripting skills (Python / Bash / PowerShell).
• Experience with Infrastructure as Code (Terraform / ARM / CloudFormation).
• Knowledge of monitoring tools (Prometheus, Grafana, CloudWatch, Azure Monitor).

Strong hands-on expertise with:

• CI/CD tools: Azure DevOps, Jenkins, GitHub Actions.
• Containerization: Docker.
• Orchestration: Kubernetes (EKS/AKS/GKE)

Preferred Skills:

• Experience with data engineering pipelines (Spark, Delta Lake).
• Exposure to streaming architectures (Kafka, Event Hubs).
• Understanding of data lake/lakehouse architectures.
• Experience with multi-region / high-availability setups
• Cloud certifications (AWS / Azure DevOps / Databricks).