Role : Docker, Cloud & MLOps Engineer (FastAPI / CI-CD / ML-DL)

Location : Gurugram / Nearby Only (On-site)

Joining : Immediate Joiner within 1 to 4 days (Max)

Experience : 3 to 4 years (Mandatory)

Employment Type : Full-time

Reporting To : Engineering Manager / Tech Lead

Mandatory Eligibility Criteria :

- Candidates must be based in Gurugram or nearby locations

- Must be able to join within 1- 4 days maximum

- Total experience must be 3- 4 years only

- Education from a recognized / proper university is mandatory

- Responsibility, commitment, and accountability for work are non-negotiable

Applications not meeting these criteria will not be considered.

Role Overview :

We are hiring a Docker-focused Cloud & MLOps Engineer who demonstrates strong responsibility, commitment, and ownership toward their work.

The role involves end-to-end accountability for Docker-based deployments, CI/CD pipelines, cloud infrastructure, and ML/DL production systems using FastAPI, Azure/AWS, and modern MLOps practices.

Key Responsibilities :

1. Technical Responsibilities :

- Design, develop, and deploy FastAPI-based backend services

- Build, manage, and optimize Docker containers and images

- Design and maintain CI/CD pipelines

- Deploy and manage applications on Azure and/or AWS

- Deploy, monitor, and support Machine Learning / Deep Learning models

- Ensure system reliability, scalability, security, and performance

- Maintain clean code, documentation, and deployment processes

2. Responsibility, Commitment & Accountability (Must) :

- Take full ownership of assigned tasks and deliverables

- Commit to deadlines and delivery timelines

- Ensure work is completed with accuracy and quality

- Proactively identify issues and resolve them

- Escalate risks early and provide solutions

- Be accountable for outcomes, not just activities

Mandatory Technical Skills (Must-Have) :

- Docker (critical, hands-on experience)

- FastAPI

- CI/CD pipelines

- Azure and/or AWS

- AWS SDKs / Azure SDKs

- MLOps workflows

- ML / DL model deployment

Additional Skills (Good to Have / Benefit) :

- Strong Python programming skills

- Experience with ML/DL frameworks

- General software development knowledge

- DevOps or infrastructure automation exposure

Performance Expectations :

- Production-ready, high-quality deliverables

- Ownership of deployment stability and uptime

- Clear communication and documentation

- Continuous improvement mindset

- No careless errors or missed commitments

Preferred Candidate Traits :

- Highly responsible and committed to work

- Ownership-driven and accountable mindset

- Strong problem-solving abilities

- Ability to work independently and with teams

- Professional attitude and discipline

Application Process :

Please apply with :

- Updated resume

- Brief summary of Docker, Cloud, CI/CD, and ML/DL experience

Only candidates meeting all eligibility and accountability requirements should apply.

Industry : Technology, Information and Internet

Employment Type : Full-time