Lead Devops Engineer

Airtel X Labs
6 - 10 yrs exp
6 - 10 yrs exp
About opportunityAbout opportunity

Data and Innovation is the heart of how Airtel has become the Leader in the Telecom space in India. You will be a part of Airtel's data engineering team, who design and build the massive-scale distributed data platforms, recommendation and search technologies, and analytical tools on which all of Airtel's applications depend. You will be part of a team that builds BigData solutions to support our customers (internal and external) with new visibility applications, dashboards and portals. The candidate should have practical, hands-on experience in automation, configuration management, debugging/troubleshooting modern cloud/container based systems and BigData applications. You would be working with development engineers to get more done faster with less effort by building continuous integration pipelines and continuous delivery tools like Jenkins.

What is in store for you:

  • Automation is at the core of this practice.
  • Taking care of Continuous Integration (CI)/continuous Testing/Continuous delivery
  • Deploy, manage and maintain BigData pipeline with technologies like - Kafka, ElasticSearch, Druid, Envoy, Spark, HDFS, Zeppelin, Kubernetes, Docker containers
  • Keeping big data pipeline/infra up 24x7
  • Monitor pipeline. Take proactive measures to keep pipeline up and healthy.
  • Quickly debug and resolve issues.
  • Develop automation scripts for repetitive tasks like rebalancing partitions in kafka, making disk space etc., auto deployment of code.
  • Writing scripts to automate tests and validate data pipeline
  • Automating and streamlining the software development and infrastructure management processes
  • Application Performance Monitoring, Logging
  • Communication, Collaboration
  • Understand organisation?s need and able to apply solutions, tools, standard methodologies from an immediate/dire need to a long-term perspective/vision.
  • Come up with standard methodologies, execute and excel as DataOps center of excellence.
  • Help build, setup and manage Agile Data Infrastructure & Agile Data Operations.


  • Bachelor / Masters degree in engineering or equivalent
  • 5-10 years in fast paced high volume scalable platforms
  • Experience in operating large scale data infrastructure - Kafka, Druid, Elasticsearch, Spark, HDFS etc..
  • Knowledge of application monitoring tools to troubleshoot and diagnose environment issues
  • Experience with Jenkins, CICD.
  • Proficiency in Shell, Python and Go programming
  • Solid understanding of operating systems and networking principles
  • Good understanding of Linux
  • Plus: Familiar with automation tools such as Helm charts, Ansible etc.
  • Plus: Experience in microservices and containerized technologies (Docker, Kubernetes, etc.)
  • Plus: Experience with modern web architectures & cloud platforms (AWS, GCP, Azure, etc.)
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Hiring Team
About Airtel X Labs

A true Indian MNC, operating out of 17 countries across Asia and Africa, we serve one in every 25 people on this planet. We aim to work towards our vision, driven by our values of AIR - Alive, Inclusive and Respectful. Being the world’s 3rd largest telecom service provider, we believe in providing our employees with an inspiring and motivating environment, and here is what our employees have to say about it!

All work and no play isn’t how we do things at Airtel X-Labs. Here, innovation is a way of life and we believe that a dynamic and friendly environment helps our employees strike a healthy work-life balance. In fact, a defining characteristic of life at Airtel X-Labs is fun, youthful and vibrant work culture.

Airtel X Labs is transforming from a telecom giant to a digital force and changing how cities use energy, to how people consume entertainment, to how companies manage their assets. There could not be a better time to join us and be a part of this incredible journey. Our mission is “Hunger to win customers for life” through exceptional customer experience and by building, world class digital products.

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