As a DataOps Engineering Manager, you will be leading a team to build operational excellence around the highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.


Responsibilities :


  • Align Sigmoid with key Client initiatives
    • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
    • Connect with IT&D Directors, DE/DS VP and Director level clients on a regular basis.
    • Travel to client locations
    • Ability to understand business requirements and tie them to technology solutions
  • Build a delivery plan with domain experts and stay on track
    • Design, develop and evolve highly scalable and fault-tolerant Cloud Infrastructure.
    • Excellent experience in implementing Infra-as-a-Code, CI/CD, Monitoring/Logging solutions, Cloud Consulting, Managing support teams and complex data system management.
  • Build team and manage it day to day basis
    • Play the key role of hiring manager to build the future of Sigmoid.
    • Guiding DataOps engineers in day to day design and implementation tasks, stepping in to code if needed.
    • Define your team structure, Hire and train your team as needed
  • Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
    • Hands on coder with good understanding on enterprise level code
    • Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
    • Experience in defining technical requirements, automating jobs, productionizing jobs, experience designing cloud architecture with AWS/GCP/Azure cloud and exploring new big data technologies.
  • 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".  


Qualifications :

  • 10+ year track record of relevant work experience and a Computer Science or related technical discipline is required
  • Dynamic leader who has directly managed team of highly competent developers in fast paced work environment
  • Experience in Architecture and Management of Enterprise scale applications/Data Systems.


Preferred Qualification: 

  • Experience in agile methodology
  • Development and support experience in Data domain
  • Architecting, developing, implementing and maintaining Cloud, automation and Data solutions 
  • Experience on Developing and managing workloads on AWS/GCP/Azure
  • Experience with DevOps tools and process implemations (IaaC, CD, CD, Monitoring, Logging, K8s, Docker etc)

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