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DevOps Engineer



  • Job Type: Full-Time
  • Function: IT
  • Industry: Enterprise
  • Post Date: 09/23/2022
  • Website:
  • Company Address: 399 Boylston, Street F6, Boston, MA, 02116

About OfferFit

The personalization engine that makes A/B testing obsolete.

Job Description

OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home (leading home security company) and Engie (multinational electric utility), among many others.


Do you enjoy working on data-intensive products and supporting the build of a scalable infrastructure from an early stage?  Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform.


In particular, you will:

  • Use robust DevOps and software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product
  • Implement DevOp best practices around product and platform (e.g., Cloud, Analytic Databases, Microservices/APIs, Monitoring/Alerting, Security and Authentication) infrastructure to make deployments more efficient, scalable and robust 
  • Work closely with OfferFit customers to understand, translate and generalize particular use cases to generic platform components
  • Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same
  • Participate in determining OfferFit’s product strategy and roadmap
  • Support teams implementing OfferFit for customers to ensure their success


Tech stack:

  • Data Science/Back End: Python (Pandas, TF, Flask, Great Expectations), SQL, REST/GraphQL APIs
  • Web [Not required for this role]: JavaScript (Vue, Node.js), HTML, CSS
  • Architecture/DevOps: Kubernetes, Helm, Airflow, Terraform, GCP, BigQuery
  • We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development.

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