10/08 Sanghamitra Barua
Recruiter at Zendrive

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Zendrive - Lead DevOps Engineer - Big Data/Machine Learning (8-12 yrs) Premium

Bangalore Job Code: 479097

The Role :

- Imagine a world where every driver with a smartphone is safer and where massive amounts of data and insights make cities safer and reduce insurance costs for everyone. Zendrive is rapidly executing its mission of - making all roads safer using data and analytics- and is focused on building products to support the evolution of transportation.

- Zendrive is looking for a Lead DevOps Engineer. You will be responsible for setting up Devops from the ground up at Zendrive. 

- You will be setting the tone for how devops should evolve in a small and rapidly growing org like Zendrive. 

- You will build repeatable, reliable, scalable processes and tools for delivering multiple products. This includes managing instances and clusters, automating deployments and doing regular maintenance.

Requirements :

- BS in Computer Science or related field.

- 8+ years of DevOps experience.

- Experience planning and building a multi-region highly available auto-scaling infrastructure that balances performance, maintenance and cost.

- Production experience with 1-2 BigData technologies (Hadoop, HBase, Solr, Oozie, Spark).

- Configuration management experience using any of these frameworks : Ansible/Chef/Puppet.

- Experience with architecting and administering AWS or similar service.

- Experience administering PostgreSQL is a plus.

- Advanced debugging and troubleshooting skills in production.

- Good communication skills to collaborate with technical and non technical colleagues.

- Sound understanding of Cloud-native architectures, Big Data Analytics & Machine Learning platforms.

Responsibilities :

- Oversight of all server environments, from dev through production.

- Lead and mentor a team of DevOps Engineers.

- Define how Devops can scale at Zendrive with multiple products and internal requirements.

- Ensure compliance with business continuity, security and disaster recovery policies.

- Conceptualize, architect and build a secure network and infrastructure by working closely with the security team.

- Automate deployment pipelines in a scalable, secure and reliable manner.

- Perpetuate a culture of automation where any repetitive work is automated.

- Design, implement and enhance CI and CD platforms.

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