Senior DevOps Engineer

2 hours ago

hyderabad, India Ekshvaku Tech Innovations Full time

Senior DevOps Engineer | AI-Driven Tech Startup📍 Location: Hyderabad (Hybrid)🕒 Experience: 8+ years🏢 Type: 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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