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)
Top Skills
What We Do
Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies.
We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals.
Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others.
Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.
