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Home›Jobs›Sigmoid›DataOps Engineering Manager
Sigmoid

About Sigmoid

Transforming data into actionable insights for enterprises

🏢 Tech👥 251-1K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, California
  • Over 500 employees focused on data solutions
  • Partners with Fortune 500 companies for data analytics
  • Utilizes open-source and cloud technologies

Sigmoid, headquartered in San Francisco, California, specializes in data solutions that leverage real-time analytics and machine learning. The company partners with clients like Fortune 500 companies to build and manage large-scale data platforms using open-source and cloud technologies. With a work...

🎁 Benefits

Employees enjoy competitive equity options, generous PTO policies, flexible remote work arrangements, and a learning budget for professional developme...

🌟 Culture

Sigmoid fosters a culture that emphasizes data-driven decision-making and innovation, encouraging teams to experiment with new technologies and method...

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Sigmoid

DataOps Engineering Manager

Sigmoid • Bangalore

Posted 1 month ago🏛️ On-SiteLeadDataops engineering manager📍 Bangalore
Apply Now →

Job Description

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

DataOps Engineering Manager

 

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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