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# software engineers

- **Company:** IBA InfoTech Inc.
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Code Coverage, Python (Programming Language), Machine Learning, Software Systems, Deep Learning, Backend, Kubernetes, Information Technology, Web Technologies, Machine Learning Operations, Stream Processing, Data Pipelines, Golang
- **Published:** June 14, 2026
- **Apply:** https://ibainfotech.com/software-engineer-back-end-jobs-in-pittsburgh

## About the Role

* Bachelors degree in Computer Science (or related technical field) or equivalent practical work experience.
 * You know how to architect robust services and maintain high standards on the codebase in a fast-growing team. You stay up-to-date with the latest architectural trends.
 * Experienced with Unix/Linux environments and Python.
 * Recommended to have experience working with two or more from the following: distributed and parallel systems, machine learning, developing large software systems, web technology.
 * Fast learners: We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to our rapidly evolving business environment.
 * You feel ownership over everything you ship. You write clean code, test thoroughly, and care about the user. You pride yourself on efficient monitoring, strong documentation, and proper test coverage.
 * You are a team player and are eager to help shape the culture of a small team that will be the foundation of something big.

## Description

* Design, implement, and test backend data and ML pipelines and services with well-designed APIs using appropriate languages (e.g. C++, Python, Go, etc) and technologies (e.g. Kubernetes, distributed batch and stream processing, etc).
 * With guidance from domain experts you will:
 * Build distributed ML infrastructure
 * Build ML data processing pipelines
 * Build a deep learning platform based on our in-house deep learning engine
 * Learn quickly about AI & ML concepts and workflow


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