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Aera Technology

AI-based decision automation for enterprises

Senior Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • At least 5 years of software development experience using Java and/or Python.
  • Experience building secure, complex, and scalable APIs from design through deployment.
  • Hands-on experience with Docker, Git, Gradle, and Linux.
  • A strong foundation in writing, testing, and delivering high-quality, maintainable code.
  • Experience with SQL development, data modeling, and complex data structures for high-volume, high-velocity data, as well as experience working with NoSQL technologies.
  • Experience with OAuth, logging, and security frameworks.
  • Strong experience using Claude and other large language models to support software development.
  • Hands-on experience with code quality tools such as SonarQube, PMD, and Checkstyle.
  • Demonstrated success leading technical design and implementation, mentoring engineers, and guiding projects through delivery.

Responsibilities

  • Lead the design and implementation of robust, highly scalable services and APIs.
  • Design, build, and maintain efficient, reusable, and reliable code and automation.
  • Apply object-oriented design and service-oriented architecture principles to Java development.
  • Participate in design and code reviews to strengthen software quality, performance, and maintainability.
  • Maintain and improve continuous integration/continuous delivery and release pipelines to support reliable, efficient deployments.
  • Identify and resolve bugs and performance bottlenecks to improve application quality and responsiveness.

About the Company

Aera Technology

AI-based decision automation for enterprises

Aera Technology provides AI-powered decision automation for large enterprises, especially with complex supply chains. Its system continuously analyzes and indexes data from enterprise systems to give real-time visibility, predict risks and opportunities, and recommend the best actions. It can autonomously execute decisions and learns from each outcome to improve future recommendations. This differentiates it by focusing on end-to-end decision automation that combines real-time insights with autonomous action rather than just analytics. The company targets large corporations and operates on a subscription or licensing business model, aiming to help customers reduce operating costs, increase efficiency, and boost revenue.

Company size
201-500
Company stage
Series C
Total funding
$173.7M
Headquarters
Mountain View, CA
Founded
2017

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