Devops 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)