DevOps Engineer

• Design and manage cloud and hybrid-cloud infrastructure, with hands-on experience in AWS (EC2, S3, IAM, EKS, Lambda).
• Build and maintain ETL and data-processing pipelines (NiFi, Kafka, Spark, Flink, Airflow).
• Implement cloud networking, storage, and security best practices.
• Develop and operate observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).
• Automate infrastructure and deployment workflows using CI/CD (Jenkins, GitLab, GitHub Actions).
• Deploy and manage containerized applications using Docker and Kubernetes (EKS, GKE, on-prem).
• Collaborate with AI, data, and backend teams to ensure reliable, scalable services.
• Manage metadata and lineage with Apache Atlas.
• Support hybrid compute environments, including GPU workloads and HPC clusters.
• Contribute to backend and occasional full-stack development for internal tools and automation.

• Bachelor’s degree in IT, Computer Science, or related field.
• 3+ years of experience in DevOps, systems engineering, or cloud infrastructure.
• Strong hands-on experience with AWS services and Kubernetes.
• Proficiency with infrastructure-as-code (Terraform, CloudFormation, or similar).
• Solid understanding of distributed systems and data processing pipelines.
• Strong scripting skills (Python, Bash).
• Experience with HPC, GPU computing, or large-scale data workloads.
• Familiarity with modern data lakehouse technologies (Hudi, Iceberg).

Nice-to-have

• Experience in pharmaceutical, biotech, or healthcare-related platforms.
• Prior work with AI/ML pipelines and model deployment.
• Background in security, compliance, and governance frameworks (e.g., ELK, Atlas, Ranger).
• Exposure to real-time systems and event-driven architecture.