Sigmoid | DevOps Engineer | bangalore

2 weeks ago

bangalore, India Sigmoid Full time

As a DevOps Enginner-2/Lead, you will be responsible for managing, design highly scalable and Available solution for data pipelines that provides the foundation for collecting, storing, modelling, and analysing 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 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: -

  • 5 - 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 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 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


Skills To Look At - Linux, AWS, Build & Release Tools, Scripting - Shell & Python, Docker, Kubernetes, Configuration Management and Databases, Hadoop, spark, ELK (Elastic Search, Logstash, Kibana), big data system such as (Influx DB or Elasticsearch or Cassandra), Ansible, Chef, Puppet

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