DevOps Engineer

2 days ago

Chennai, Tamil Nadu, India LuMay AI Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Company Description

LuMay AI is a forward-thinking technology company specializing in cutting-edge artificial intelligence solutions that revolutionize industries through intelligent automation, predictive analytics, and next-generation AI applications. Our mission is to build scalable, secure, and ethical AI systems that empower businesses and communities worldwide.

We foster a collaborative, innovation-driven work culture where engineers, developers, and creators come together to solve complex problems with modern tools and agile methodologies. At LuMay AI, you will have the opportunity to work on impactful projects while growing your skills in cloud technologies, DevOps practices, and advanced AI-driven systems.

Join our team and be part of a company shaping the future of technology.

Role Description

LuMay AI is seeking a skilled
DevOps Engineer
for a full-time, on-site position in
Trichy
. In this role, you will collaborate closely with development and operations teams to automate workflows, streamline deployment pipelines, and maintain a reliable infrastructure.

You will be responsible for implementing and managing
CI/CD pipelines
, optimizing cloud environments (AWS/Azure), handling container orchestration with
Docker and Kubernetes
, and ensuring robust system monitoring and logging. The role also includes writing automation scripts in
Python/Bash
, maintaining Linux servers, and applying
Infrastructure as Code (IaC)
best practices to deliver scalable, efficient, and secure solutions.

As part of an agile team, you will play a key role in delivering high-quality software systems while continuously improving automation and deployment strategies.

Qualifications

  • 2–3 years of hands-on experience in DevOps or related engineering roles
  • Strong proficiency in
    Infrastructure as Code (IaC)
    tools (Terraform, Ansible, etc.)
  • Expertise in designing and managing
    CI/CD pipelines
  • Solid experience with
    cloud platforms
    such as AWS or Azure
  • Proficiency in
    Linux server administration
    and system operations
  • Skilled in
    Python and Bash scripting
    for automation tasks
  • Familiarity with
    Docker and Kubernetes
    for containerization and orchestration
  • Experience with
    monitoring and logging tools
    (e.g., Prometheus, Grafana, ELK)
  • Strong skills in
    Git
    and version control workflows
  • Ability to thrive in an agile, collaborative, and fast-paced environment

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