▷ [05/11/2025] Senior DevOps Engineer

5 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 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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