Senior DevOps Engineer

Job Description

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 .