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DevOps Engineer- Generative AI

CompuGroup Medical -
Noida, Uttar Pradesh

Apply Now

Job details

Benefits

Commuter assistance

Qualifications

CI/CD
Cloud infrastructure
Computer Science
DevOps
C#
Microsoft SQL Server
Visio
.NET
Master's degree
Bachelor's degree
Continuous integration
Systems engineering
Angular
APIs
AI
Python
Software architecture

Full job description

Create the future of e-Health together with us by becoming a DevOps Engineer – Generative AI

At CompuGroup Medical, our mission is to build groundbreaking solutions for digital healthcare. We aim to revolutionize how healthcare professionals produce, access, and utilize information, enabling them to focus on the core value of their work: patient outcomes. As one of the Best in KLAS organizations in the industry, we offer a full scope of Electronic Health Records (EHR), Billing, Payment services, and Revenue Cycle Management (RCM) services. We provide our team members with the training and solutions to grow across various technologies and processes.

Job Role:

We are seeking a talented DevOps Engineer – Generative AI who will play an integral part in shaping the design of our products. Reporting directly to the Senior Director of AI and based out of Noida, this individual will be in charge of AI agent and AI system deployments, leading systems design, and architecture diagram development.

What You Can Expect From Us:

High Performing Team: You will play an integral part in helping shape a close-nit, elite team within CGM that can move fast, with accuracy and hit deadlines with confidence.
In-Person Team Environment: The role and the team will be onsite in Noida. We’re making work human again. No more working with people that you never meet in person. In this role, you will build in-person relationships with your team, and friendships for years to come.
Comprehensive Benefits: Extensive group health and accidental insurance programs.
Seamless Onboarding: A safe digital application process and a structured onboarding program.
Engagement Activities: Tons of fun at work with engagement activities and entertaining games.
Career Growth: Various career growth opportunities and a lucrative merit increment policy.
Flexible Transportation: Choose between a self-transport allowance or our pick-up/drop-off service.
Subsidized Meals: Enjoy our kitchen and food hall with subsidized meals, for your convenience.

Principal Responsibilities and Duties:

Design, deploy, and manage on-premises and cloud environments for QA and production, ensuring high availability and security.
Lead deployments of AI agents and enterprise applications into scalable and automated infrastructure environments.
Define system requirements, design system and network architectures, and create clear documentation and architecture diagrams.
Write, maintain, and debug Python scripts and automation tools to streamline deployment pipelines and integration workflows.
Monitor and maintain production API and microservice ecosystems, ensuring uptime, performance, and observability.
Participate in risk analysis and develop proactive Risk Management Plans across system lifecycle.
Collaborate with engineering teams to troubleshoot issues, support QA testing, and optimize CI/CD pipelines.
Build, enhance, and integrate new services across platforms using technologies such as Python, .NET (C#), SQL Server, and Angular.

You Are a Good Fit for This Role If You:

Thrive on problem-solving, innovation, and hands-on technical execution.
Have 3+ years of experience in DevOps, systems engineering, or software architecture.
Have 2+ years of experience architecting and implementing cloud infrastructure and on-premises server environments.
Possess experience with Generative AI development, including prompt engineering with models like GPT‑4o, Claude 3.5 Sonnet, or Gemini.
Have 2+ years of experience with Python development and familiarity with at least one of the following: .NET (C#), SQL Server, or related technologies.
Can clearly visualize and design system architecture diagrams using standard tools (e.g., Lucidchart, Draw.io, or Visio).
Have experience working in dynamic startup environments or multidisciplinary AI teams.
Hold a Bachelor’s or Master’s in Computer Science, Engineering, or a related field.

How to Apply: If you are a self-motivated individual with a passion for developing comprehensive software solutions and a desire to grow in the field of Healthcare Technology, we encourage you to apply for this exciting opportunity.

Even if you do not meet all the requirements from this job post, we encourage you to apply!

Convinced? Submit your persuasive application now (including desired salary and earliest possible starting date). We create the future of e-health. Become part of a significant mission.

Apply Now

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Senior Software Engineer (SDE 3) — Frontend

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