Senior DevOps Engineer

6 days ago


Hyderabad, India Ekshvaku Tech Innovations Full time

Senior DevOps Engineer | AI-Driven Tech Startup # ;  Location: Hyderabad (Hybrid) #Experience: 8+ years #Type: Full-time Ekshvaku Tech Innovations is a fast-growing AI-driven technology company redefining how clinicians and healthcare systems harness data for better decision-making. Our mission is to build  secure, intelligent, and scalable AI solutions that empower healthcare professionals to improve patient outcomes and operational efficiency. Join a passionate and dynamic team where your expertise in  automation, scalability, and cloud infrastructure will directly fuel life-changing innovations in healthcare technology. As a  Senior DevOps Engineer , you will lead the design, automation, and management of our AI and data infrastructure. You’ll drive DevOps excellence across CI/CD, cloud, observability, and security — ensuring that our systems are fast, reliable, and compliant with healthcare standards. Automate infrastructure provisioning and configuration using  Terraform, Ansible, or CloudFormation . Deploy and manage  AI/ML workloads on  AWS or GCP . Lead containerization and orchestration using  Docker and Kubernetes (EKS/GKE) . Implement  end-to-end monitoring, logging, and alerting for proactive system health management. Collaborate closely with AI, Data, and Software Engineering teams to streamline  model deployment workflows . Explore and integrate  AI-assisted DevOps tools for automation and observability. 8+ years of experience in  DevOps, Cloud Engineering, or Site Reliability Engineering . ~ Strong proficiency in  AWS or GCP (IAM, networking, autoscaling, etc.). ~ Hands-on experience with  Docker & Kubernetes (EKS, GKE) . ~ Strong scripting skills in  Python, Bash, or Go . ~ Experience with  Infrastructure as Code (Terraform, CloudFormation, Ansible). ~ Familiarity with  ML Ops tools (MLflow, Kubeflow, Vertex AI, SageMaker). ~ Deep understanding of  monitoring & observability stacks (Prometheus, Grafana, ELK). ~ Experience with  GPU orchestration or  AI/ML model pipeline automation . Exposure to  serverless / event-driven architectures (AWS Lambda, Cloud Run). AWS DevOps Engineer – Professional certification or equivalent. Background in  healthcare or other  regulated data environments . 90%+ reduction in manual deployments via automation. ~ Enhanced observability and proactive system monitoring. ~ Modernized infrastructure supporting  next-gen AI healthcare workloads .



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