About the role

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:

Preferred Skills:

DevOps Engineer