DevOps Engineer

Cloudly Inc; India; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Two annual bonuses

Fully subsidized lunch

Flexible leave policies

Job summary

Cloudly Inc is seeking a DevOps Engineer to build and maintain delivery infrastructure and automation systems. In this role, you will design CI/CD pipelines, manage containerized deployments, and automate operational processes. Candidates should have a strong background in Linux, AWS, and DevOps practices.

The position offers competitive compensation, health insurance, and a flexible work environment with opportunities for professional growth.

Qualifications

• 3 to 5 years of hands-on DevOps or platform engineering experience.
• Strong proficiency in Linux systems administration.
• Practical experience with Docker and Kubernetes.
• Solid AWS experience across several services.
• Experience building and maintaining CI/CD pipelines.

Responsibilities

• Build and maintain CI/CD pipelines for product portfolio.
• Automate operational tasks and environment provisioning.
• Deploy and manage containerized workloads using Docker.
• Implement monitoring and logging infrastructure.
• Collaborate in agile teams to improve system delivery.

Skills

CI/CD pipelines

Infrastructure as Code

Docker

Kubernetes

AWS services

Bash scripting

Python scripting

Monitoring and logging

Education

Bachelor's degree in Computer Science or related field

Tools

GitLab

Jenkins

Terraform

Ansible

Grafana

Prometheus

Kibana

Elasticsearch

Job description

As DevOps Engineer at CloudlyIO, you will build and own the delivery infrastructure and automation systems that allow our engineering teams to ship fast and safely. You will design and maintain CI/CD pipelines, manage containerized deployments, automate operational processes, and ensure that our software delivery lifecycle is reliable, repeatable, and continuously improving. This is a role for someone who takes genuine pride in clean automation, well-structured pipelines, and the kind of invisible infrastructure excellence that lets product teams focus entirely on building great AI.

Job Requirement

CI/CD & Delivery Pipelines

• Design, build, and maintain CI/CD pipelines across CloudlyIO's product portfolio using GitLab, Jenkins, and related tooling
• Manage software releases, hotfixes, and deployment automation across development, staging, and production environments
• Integrate automated testing at multiple levels into the delivery pipeline, including unit, integration, and system tests
• Maintain the build farm, deployment environments, and all CI infrastructure

Infrastructure Automation

• Implement and maintain infrastructure as code using Terraform, CloudFormation, and Ansible to ensure reproducible, auditable environments
• Automate operational tasks, environment provisioning, and configuration management using Bash and Python scripting
• Work with AWS services including EC2, EKS, ECS Fargate, RDS, IAM, S3, VPC, Lambda, Route 53, and CloudWatch

Container & Orchestration Management

• Deploy and manage containerized workloads using Docker and Kubernetes across development and production environments
• Build and maintain Helm charts, Kubernetes manifests, and deployment configurations
• Optimize container resource allocation and cluster performance

Observability & Reliability

• Implement and maintain monitoring, logging, and alerting infrastructure using Grafana, Prometheus, Kibana, Elasticsearch, and CloudWatch
• Define reliability metrics and build dashboards that give engineering teams clear visibility into system health
• Troubleshoot pipeline failures, deployment issues, and infrastructure problems with precision and urgency

Collaboration

• Work in small, focused agile teams alongside product engineers, ML engineers, and platform teams
• Serve as the go-to resource for software development teams on deployment, infrastructure, and delivery pipeline questions
• Document all systems, pipelines, and procedures clearly and keep documentation current

YOU MAY BE A GOOD FIT IF YOU HAVE

• 3 to 5 years of hands-on DevOps or platform engineering experience in production cloud environments
• Strong proficiency in Linux systems administration and hands-on Bash and Python scripting
• Practical experience with Docker and Kubernetes including managed services such as EKS or ECS Fargate
• Solid AWS experience across EC2, RDS, IAM, S3, VPC, Lambda, and CloudFormation
• Experience building and maintaining CI/CD pipelines using GitLab, Jenkins, or equivalent
• Familiarity with infrastructure as code tools such as Terraform or Ansible
• Working knowledge of Nginx, reverse proxy configuration, and web serving infrastructure
• Experience with databases including MySQL, PostgreSQL, and Elasticsearch, and caching systems such as Redis
• A disciplined, ownership-driven approach to operational work including comfort with planned after-hours deployment windows when needed

PREFERRED QUALIFICATIONS

• AWS certification such as Solutions Architect Associate or SysOps Administrator
• Linux certification such as RHCE or equivalent
• Kubernetes certification such as CKA
• Experience with GCP or Azure environments
• Familiarity with security practices including network hardening and DDoS mitigation
• Experience supporting AI or ML workloads in production
• Bachelor's degree in Computer Science, Engineering, or a related field

COMPENSATION & BENEFITS

• Salary: Competitive and negotiable based on experience
• Two annual festive bonuses, each equivalent to half a month's salary
• Two-day weekends, 10 days casual leave, 10 days sick leave, and 14 public holidays per CloudlyIO's global holiday calendar
• Fully subsidized lunch and evening snacks, plus tea and coffee throughout the day
• Health insurance
• Direct collaboration with US clients and teams, working on real enterprise AI infrastructure from day one