DevOps Architect

Ekshvaku Tech InnovationsHyderabad, Republic Of India, IN

6 days ago

Job description

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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