Experience: 0 to 2 years (final-year students, fresh grads, or early-career DevOps engineers welcome) Location: Mumbai only, Corporate Chamber 1085, Hotel Sahara Star, Vile Parle Salary: Competitive stipend during internship with conversion to full-time based on performance

Expected Notice Period: Immediate Shift: GMT+05:30 Asia/Kolkata IST (on-call expectations apply, this is infrastructure, things break at 2 AM)

Opportunity Type: In-office Mumbai (mandatory, no hybrid or remote)

Placement Type: Full Time Internship (with strong intent to convert to permanent)

What do you need for this opportunity? Must have skills required:

Linux server administration (Ubuntu, Debian, or equivalent)
Cloud infrastructure on AWS, GCP, or Azure (EC2, S3, IAM, networking basics)
CI/CD pipeline setup and maintenance (GitHub Actions, GitLab CI, or equivalent)
Containerization with Docker (writing Dockerfiles, multi-stage builds, image optimization)
Orchestration basics (Docker Compose, Kubernetes fundamentals)
Nginx, reverse proxies, load balancing, and SSL/TLS certificate management
Monitoring, logging, and alerting (Grafana, Prometheus, CloudWatch, Sentry, or equivalent)
Infrastructure-as-code awareness (Terraform, Pulumi, or equivalent)
Shell scripting (Bash) and Python for automation
Git and version control fluency
Calm under pressure when production is down

Renate is Looking for: DevOps Engineer Intern

The Role As DevOps Engineer Intern at Renate, you own infrastructure end-to-end. This is not a "help out with deployments" seat. You manage every server, every pipeline, every deployment, and every alert. When something breaks, you are the first to know and the first to fix. You build the rails that the rest of the engineering team ships on, harden the platform as we scale, and make sure clients never

feel a hiccup. You report directly to the founder.

Your Impact

Own all cloud infrastructure end-to-end, including provisioning, configuration, scaling, and cost management
Build and maintain CI/CD pipelines so every engineer can ship safely and quickly
Manage production deployments across services with zero or near-zero downtime
Keep servers running 24/7, including monitoring, alerting, incident response, and post-mortem write-ups
Harden the platform on security, including secrets management, IAM policies, firewall rules, and SSL/TLS
Set up and maintain observability across the stack, including logs, metrics, traces, and uptime dashboards
Automate everything that gets done twice, from backups to provisioning to log rotation
Manage databases at the operational level, including backups, replication, restoration drills, and performance tuning
Coordinate with backend, frontend, and AI engineers to unblock deployments and resolve infrastructure issues fast
Track every incident, fix, and change in a shared log reviewed regularly with the founder

What You Bring

Genuine hands-on ability, where you have actually deployed and managed real infrastructure, not just completed tutorials
Working command of Linux, Docker, at least one major cloud provider, and CI/CD tooling
Calm temperament under pressure, where production going down energizes you instead of panicking you
A bias for automation over manual intervention
Awareness of security and reliability as first-class concerns, not afterthoughts
High ownership, high speed, and comfort with ambiguity
Willingness to be on call and respond fast when something breaks outside business hours
Ability to track your own work and report results without being chased
Mumbai-based or willing to relocate immediately

Nice to Have

A homelab, personal cloud setup, or side project where you have run real infrastructure with measurable uptime
Experience with Kubernetes in production (not just local clusters)
Familiarity with Terraform, Pulumi, or other infrastructure-as-code tools
Exposure to managing infrastructure for AI or ML workloads (GPU instances, model serving)
Understanding of cost optimization at the cloud provider level
Prior internship, freelance, or open-source work involving infrastructure or SRE responsibilities

About Renate Renate is an AI recruitment system. Companies and staffing agencies source candidates through their existing channels, and Renate takes over everything after that, screens every applicant, interviews top candidates via live adaptive phone calls in 13 languages, delivers ranked shortlists with structured scorecards, and supports clients through final-round interviews. The product is live and pilot clients are already onboarded. We are an 8-person team in Mumbai, shipped v1 in 6 weeks, and are scaling distribution across India and MENA. US competitors have validated this market with $60M+ in funding but haven't entered the region. We have.

Renate

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