DevOps Lead

As a Devops 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.

Responsibilities:

• 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
  • Travel to client locations
  • Ability to understand business requirements and tie them to technologysolutions

• Strategically support Technical Initiatives
  • Design, manage & deploy highly scalable and fault-tolerant distributed components using Big data
  • 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 issue
• 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
  • 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 b support tasks
  • Play a key role in hiring technical talents to build the future of
  • 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
  • Raw intellect, talent and energy are
  • Entrepreneurial and Agile : understands the demands of a private, high growth
  • Ability to be both a leader and hands on "doer".

Qualifications: -

8 - 12 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, lmpala, Spark,
• Kerberos, KAFKA, etc)
• Experience in container technologies like Docker, Kubernetes Et configuration management systems