Software Engineer (back-end)

Remote, San Francisco, CA, United States

Datatron Technologies

Role Locations

  • Remote
  • San Francisco, CA, United States


11 - 25 people


185 Clara Street, Suite 101 A
San Francisco, CA, 94107, US

Tech Stack

  • React
  • Python
  • Kubernetes
  • Flask
  • AWS
  • Hadoop
  • PostgreSQL
  • Scala

Role Description

Software Engineer (back-end) at Datatron Technologies San Francisco, CA


Datatron is a cutting-edge, unified platform for machine learning model deployment, life-cycle management, and governance. Our vision is to define the future of model operations and we are just getting started. We are committed to defining and building a machine learning platform that will make models come to life in production, and most importantly, stay alive and accurate.

As more and more enterprise companies begin AI programs and leverage Machine Learning to help improve customer experiences and revenue, the opportunity has massive growth potential. Datatron is primed to capitalize on this opportunity. We have built a platform that has already solved major AI/ML pain points for Fortune 100 enterprise brands like Comcast and Dominoes. Datatron helps businesses get more AI/ML models into production faster, delivering business value in less time. Respected industry analysts like Gartner, who have surveyed the competitive landscape, have indicated that Datatron’s product is at the vanguard of the pack. Backed by world-class tier-1 investors. We have proven value, demonstrated by our Fortune 100 clientele. We are in a growth phase and are scaling out teams across the company.


As a Backend Engineer aiding in the design and development of our platform, there is no limit to the impact you can have on the business. You will be part of a talented team of engineers that demonstrate superb technical competency, delivering mission critical software and ensuring the highest levels of availability, performance, and security.

Core Responsibilities and Technical Skills

• Develop and maintain stateless services within a microservice architecture • Design and implement key components of a highly-scalable, distributed system built to handle petabytes of data • Analyze, implement, and support requirements from product development, ranging from traditional application development to more specialized, data science-driven feature

• Expertise in object-oriented programming languages (we use Python, Scala, Javascript) • Strong ability with version control system (we use git) • Familiarity with microservice architecture and tools (we use Kubernetes, Docker) • Strong computer science fundamentals, with focus on performance and scalability • Experience developing backend components with distributed computing at scale

Preferred Skills

• Self-starters who are excited by the prospect of owning, maintaining, and determining the direction for entire subsystems of a complex software platform • Experience with distributed key-value stores and issues affecting performance and reliability (we use Redis) • Experience with relational database management systems (RDBMS) (we use Postgres) • Experience using high-throughput, distributed message queuing systems (we use Kafka) • Hands-on development with Scala, Apache Spark, and the Hadoop ecosystem in general • Understanding of developing distributed machine/deep learning systems

What We Offer

• A culture of growth with the room to learn • Medical/dental/vision insurance plans • Unlimited PTO • 100% remote work options • A talented team around you equally committed to success • Gym reimbursement • 401k

For more info, please visit

Datatron is an equal opportunity employer and value diversity very highly at our company. For us, diversity is the true key to innovation and everyone in the Datatron family is equally embraced for their unique perspective and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Datatron Technologies

A cloud-native platform that operationalizes, monitors, and governs your AI and ML models. We enable enterprises to run mission-critical ML models in production while providing all necessary integration, monitoring and security requirements.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.