As a Sr DevOps Engineer / Lead, you will be responsible for managing, design highly-scalable and Available solution for data pipelines that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

This position reports to Devops Architect.


  • Align Sigmoid with key Client initiatives
    • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
    • Connect with VP and Director level clients on a regular basis.
    • Travel to client locations
    • Ability to understand business requirements and tie them to technology solutions
  • Strategically support Technical Initiatives
    • Design, manage & deploy highly scalable and fault-tolerant distributed components using Big data technologies.
    • Ability to evaluate and choose technology stacks that best fit client data strategy and constraints
  • Drive Automation and massive deployments
    • Ability to drive good engineering practices from bottom up
    • Develop industry leading CI/CD, monitoring and support practices inside the team
    • Develop scripts to automate devops processes to reduce team effort
    • Work with the team to develop automation and resolve issues
  • Support TB scale pipelines
    • Perform root cause analysis for production errors
    • Support developers in day to day devops operations 
    • Excellent experience in Application support, integration development and data management.
    • Design roster and escalation matrix for team 
  • Provide technical leadership and manage it day to day basis
    • Guiding devops in day to day design, automation & support tasks
    • Play a key role in hiring technical talents to build the future of Sigmoid.
    • Conduct training for technology stack for developers in house and outside
  • Culture
    • Must be a strategic thinker with the ability to think unconventional / out:of:box.
    • Analytical and data driven orientation.
    • Raw intellect, talent and energy are critical.
    • Entrepreneurial and Agile : understands the demands of a private, high growth company.
    • Ability to be both a leader and hands on "doer".  


  • 4 - 7 years track record of relevant work experience and a computer Science or a related technical discipline is required
  • Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred
  • Experience in Shell, Python or any scripting language
  • Experience in managing linux systems, build and release tools like jenkins
  • Effective communication skills (both written and verbal)
  • Ability to collaborate with a diverse set of engineers, data scientists and product managers
  • Comfort in a fast-paced start-up environment  

Preferred Qualification: 

  • Support experience in Big Data domain
  • Architecting, implementing and maintaining Big Data solutions 
  • Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark,  Kerberos, KAFKA, etc)
  • Experience in container technologies like Docker, Kubernetes & configuration management systems

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