DevOps Engineer

6 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Unlimits.ai


DevOps Engineer who also understands backend development


Role Overview:

DevOps Engineer with backend coding skills

engineering, backend, product, and QA


Responsibilities:

Infrastructure Automation & Cloud Management

  • Design, manage, and scale cloud infrastructure using

    Terraform

    ,

    AWS CloudFormation

    , or

    Pulumi

  • Deploy and maintain services in

    AWS

    (EC2, ECS, EKS, RDS, Lambda, S3, VPC, IAM, CloudFront)
  • Implement

    secure networking

    , IAM roles/policies, and proper resource tagging for governance and cost visibility
  • Manage

    infrastructure security, backups, and disaster recovery

    strategies


Backend Integration & Development Support

  • Collaborate with backend engineers to deploy and maintain services and APIs
  • Write and optimize backend logic or utility scripts in

    Node.js

    ,

    Python

    , or

    Go

  • Work with frameworks like

    Express.js

    or

    FastAPI

    for integration and service-level improvements
  • Debug and resolve production issues in collaboration with the development team
  • Contribute to backend performance tuning and environment consistency (dev/stage/prod)


CI/CD & Deployment Automation

  • Design, build, and manage

    CI/CD pipelines

    using

    GitHub Actions

    ,

    Jenkins

    ,

    GitLab CI

    , or

    CircleCI

  • Automate multi-environment deployments for microservices and APIs
  • Integrate

    testing

    ,

    build validation

    , and

    automated rollback

    strategies
  • Ensure continuous delivery of containerised applications using

    Docker

    and

    ECS/Fargate/EKS


Monitoring, Security & Reliability

  • Implement observability with tools like

    CloudWatch

    ,

    Datadog

    ,

    Grafana

    , or

    Prometheus

  • Set up centralised

    logging

    ,

    alerting

    , and

    incident response

    workflows (e.g., using ELK or Loki stacks)
  • Conduct regular

    security reviews

    ,

    vulnerability scanning

    , and

    cloud cost optimization

  • Support uptime SLAs and production reliability through proactive monitoring and automation


Requirements:

  • 4–6 years

    of experience in

    DevOps, Site Reliability, or Cloud Engineering

    roles
  • Strong expertise in

    AWS Cloud Services

    (EC2, ECS/Fargate, RDS, S3, Lambda, VPC, IAM)
  • Proficiency with

    Infrastructure as Code (IaC)

    tools —

    Terraform

    or

    AWS CloudFormation

  • Hands-on experience with

    CI/CD tools

    — GitHub Actions, Jenkins, or GitLab CI
  • Solid backend coding experience

    in

    Node.js, Python, or Go

    (must be able to read, debug, and write functional backend code)
  • Experience with

    Docker

    , container management, and orchestration (ECS, EKS, or Kubernetes)
  • Strong knowledge of

    Linux systems

    ,

    networking fundamentals

    , and

    system security

  • Proficiency in

    scripting languages

    (Bash/Python) for automation and build tasks
  • Experience using

    Git

    , branching workflows, and environment versioning best practices
  • Familiarity with

    API integrations

    ,

    RESTful architecture

    , and

    JSON-based data handling

  • Strong understanding of

    DevOps principles

    — continuous integration, delivery, monitoring, and feedback loops
  • Excellent collaboration skills; comfortable working closely with

    developers, QA, and product teams


Nice to Have

  • Experience managing

    AI/ML workloads

    or data processing pipelines
  • Exposure to

    serverless architectures

    (AWS Lambda, API Gateway, DynamoDB)
  • Knowledge of

    Kubernetes

    or hybrid cloud setups
  • Familiarity with

    Zero Trust

    ,

    secrets management

    (e.g., AWS Secrets Manager, Vault), or

    compliance frameworks

  • Awareness of

    FinOps

    practices (cost monitoring, tagging, scaling efficiency)


Why Unlimits

  • Shape the infrastructure and backend backbone of a growing

    AI-first product ecosystem

  • Work on

    real-world, high-scale systems

    supporting thousands of users
  • Collaborate with a

    high-impact on-site engineering team

    focused on innovation and reliability
  • Build next-gen products that push the boundaries of performance, security, and scalability


engineer and code the systems that power the future

Apply at:

GitHub

Let’s build systems as powerful as the dreams they support.

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