DevOps Engineer

8 hours ago

Gurgaon, Haryana, India Darwix AI Full time ₹ 5,00,000 - ₹ 8,00,000 per year


We're Hiring: DevOps Engineer (Cloud & MLOps)

Gurugram (On-site) | Full-Time | 2–6 Years Experience

Mon–Sat | 10:30 AM – 8:00 PM | 1st & 3rd Saturdays off

About Darwix AI

Darwix AI is one of India's fastest-growing GenAI startups, redefining enterprise sales and customer engagement with real-time conversational intelligence. We are building high-performing teams, and strong financial operations are key to keeping our growth engine running smoothly.

Role Overview

We're looking for a
DevOps Engineer

to design, build, and scale cloud-native infrastructure powering our AI and ML services. You'll be the backbone of our
MLOps workflows

, ensuring
secure, automated, and highly available

systems for model training, deployment, and real-time inference at scale.

What You'll Work On

1. Cloud Infrastructure

  • Architect and manage scalable AWS environments (EC2, S3, IAM, Lambda, SageMaker, EKS).
  • Implement best practices for infrastructure security, secrets management & high availability.

2. CI/CD & Automation

  • Build and maintain automated pipelines with
    GitHub Actions, Docker, and Terraform

.
- Automate deployment, monitoring, and scaling workflows.

3. MLOps & Model Lifecycle

  • Manage ML model deployments, versioning, and inference workflows using MLflow/DVC.
  • Collaborate with data scientists to operationalize training pipelines and artifact storage.

4. Kubernetes & Workload Orchestration

  • Deploy and monitor workloads in
    Amazon EKS

(managed & self-managed).
- Optimize cluster performance, autoscaling, and failover automation.

5. Monitoring & Reliability

  • Ensure system uptime, logging, and performance monitoring for ML services.
  • Drive incident response playbooks and disaster recovery readiness.

6. Collaboration & Delivery

  • Work closely with backend engineers & data teams.
  • Align DevOps workflows with Agile sprints & product milestones.

Who You Are

2–6 years of experience in
DevOps / MLOps

Strong hands-on experience with
AWS (EC2, S3, IAM, Lambda, SageMaker, EKS)

Skilled in
Kubernetes orchestration & EKS deployment

Hands-on with
CI/CD pipelines, GitHub Actions, Terraform & Docker

Proficient in scripting/automation (
Python, Shell

)

Familiar with
MLflow, DVC

, or model lifecycle tools

Strong fundamentals in
cloud security, monitoring & infrastructure reliability

Why Join Us?

Competitive salary + ESOPs + performance bonuses

Work with AI at the frontier of real-time voice, vision & NLP systems

Access to GPUs, cloud credits & cutting-edge DevOps/MLOps stacks

Direct collaboration with founders, IIT/BITS/IIM alums & global advisors

Ownership of critical infrastructure powering AI for 100+ enterprises globally

How to Apply

Send your resume to

Subject: DevOps Engineer – [Your Name]

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