Description :

- 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 basis.

- Travel to client locations

- Ability to understand business requirements and tie them to technology solutions

- Strategically support Technical Initiatives

- Design, manage & deploy highly scalable and fault-tolerant distributed components using Bigdata technologies.

- 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 issues

- 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 management.

- 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 & support tasks

- Play a key role in hiring technical talents to build the future of Sigmoid.

- 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 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 :

- 4 - 7 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 Azure/AWS preferred

- Experience in Shell, Python, or any scripting language(Must have)

- 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 BigData domain

- Architecting, implementing, and maintaining Big Data solutions

- Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)

- Experience in container technologies like Docker, Kubernetes & configuration management systems