Senior DevOps Engineer

16 hours ago

Hyderabad, India Ekshvaku Tech Innovations Full time

Senior DevOps Engineer | AI-Driven Tech Startup   Location: Hyderabad (Hybrid)Experience: 8+ yearsType: Full-timeAbout Ekshvaku Tech InnovationsEkshvaku 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 DoAs 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 Bring8+ 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 SkillsExperience 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 & Success90%+ 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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