Job Description

Job description

(JD)

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

Job Type: Full-time

Pay: ?16,925.45 - ?48,266.54 per month

Work Location: In person