Senior DevOps Engineer

3 weeks ago

hyderabad, 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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