Senior DevOps Engineer

3 hours ago


hyderabad district, India Ekshvaku Tech Innovations Full time

Senior DevOps Engineer | AI-Driven Tech Startup 📍  Location: Hyderabad (Hybrid)🕒  Experience: 8+ years 🏢  Type: Full-time About Ekshvaku Tech Innovations 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. What You’ll Do 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. Key Responsibilities: Design, implement, and maintain CI/CD pipelines across QA, staging, and production. 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. Ensure  HIPAA compliance , robust  security , and effective  disaster recovery strategies. 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. What You Bring 8+ years of experience in  DevOps, Cloud Engineering, or Site Reliability Engineering . Proven expertise with  CI/CD tools (GitHub Actions, Jenkins, etc.). 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). Knowledge of  security practices ,  zero-trust architecture , and  compliance frameworks . Strong communication and documentation skills for effective cross-team collaboration. Mandatory Skills Experience with  GPU orchestration or  AI/ML model pipeline automation . Exposure to  serverless / event-driven architectures (AWS Lambda, Cloud Run). Hands-on with  GitOps tools (Argo CD, Flux). AWS DevOps Engineer – Professional certification or equivalent. Background in  healthcare or other  regulated data environments . Impact & Success 90%+ reduction in manual deployments via automation. Faster and more reliable release cycles. Enhanced observability and proactive system monitoring. Modernized infrastructure supporting  next-gen AI healthcare workloads .


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