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Senior Engineer, DevOps

About Fractal Analytics:

What makes Fractal a GREAT fit for you? When you join Fractal, you’ll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We’re a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.

This role is for our product- EUGENIE 

About Eugenie:

Eugenie is an AI backed algorithmic suite than runs on unbounded data and enables businesses to - Spot Explore Exploit anomalies and patterns that have bottom line impact.

Eugenie is one of the exciting products built at with a dedicated close-knit team that constantly trying to reimagine the way AI should be applied to large amount of data and provide real time valuable feedback to businesses.

Get more details here-

Job Description:

  • The engineering team is structured to include Data Scientist, Data Engineers, Frontend Developers and Devops Engineers.
  • This team is entailed with the task of working with the product owners, researching on technology choices, building out the distributed services and ML/AI models and deploying them on the cloud or on premise.
  • The role of the Sr Devops Engineer will be working with the rest of the Engineering team in deploying the services and systems built and ensuring their smooth functioning.
  • Engineers are given full autonomy in researching and implementing their solution. The Sr Devops Engineer will work closely with the Head of Engineering in building out the infrastructure required to deploy, monitor and scale the services and systems.
  • Our distributed solution will be deployed on Azure,GCE,AWS or on premise based on the clients existing provider and data privacy concerns.
  • Automation is key in everything that we do, so a hands on Devops Engineer would:
    • Plan and strategize the deployment for High availability systems and services.
    • Provision and manage infrastructure and machines.
    • Deploy and manage microservices/applications using to ensure High availability services.
    • Setup machines using configuration management tools.
    • Monitor and log the systems and services and ensure that everything is running smoothly or be alerted when something breaks.
    • Maintain very high uptime for all system and services.

About the candidate:

The ideal candidate would be very comfortable with linux system/network administration and also be up to date with the new technologies in the devops space.

She or he should have worked on tools like Terraform, Cloudformation, Ansible, Docker, Kubernetes in a production environment for large scale data intensive systems.

The person should be pedantic about logging and monitoring every aspect of the system and services so that any outage can be avoided if possible.

Since is building ML/AI models over streams of large amount of unbounded data, experience in dealing with similar systems would be a big plus.

Education Qualification:

  • B.E / B.Tech, BCA, MCA equivalent
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