
DevOps Engineer
1 day ago
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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