Senior DevOps Engineer

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 .