> Markdown version of [/jobs/ext/2589187-sr-software-engineer](https://www.wearedevelopers.com/jobs/ext/2589187-sr-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Engineer - **Company:** HERE - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $130,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Build Automation, Big Data, C++ (Programming Language), Code Review, Continuous Integration, Software Debugging, Distributed Systems, Systems Theories, Python (Programming Language), Machine Learning, Cloud Services, Scala (Programming Language), Spatial Data Infrastructures, Workflow Management Systems, Data Server Interface, Backend, Build Management, Kubernetes, Data Management, Machine Learning Operations, Api Design, Golang - **Published:** August 31, 2026 - **Apply:** https://www.disabledperson.com/jobs/74699566-sr-software-engineer ## About the Role You are a product-minded software engineer who enjoys making hard technical work usable, scalable and reliable. * Strong software-engineering experience in a modern backend language such as Python, Java, Scala, Go or C++. * Experience designing distributed systems, cloud services, data platforms or ML infrastructure. * Strong API design, testing, debugging and performance-engineering fundamentals. * Experience with containers, CI/CD and production observability. * Ability to work effectively with data scientists, ML engineers and platform teams. * A bias toward clear architecture, measurable reliability and practical delivery. It would be great if you also bring * Experience with Kubernetes, workflow orchestration or feature/model platforms. * Experience with geospatial, mapping, sensor or high-volume event data. * Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI or simulation products in production. ## Description HERE teams work with complex models and large, continuously changing data sources. Turning that work into dependable products requires more than a successful notebook: it requires scalable services, durable interfaces, observable pipelines and thoughtful engineering tradeoffs. In this proposed positioning, you will build the platform and software foundations that help data scientists and ML engineers train, evaluate, deploy and operate AI capabilities using HERE spatial data. You will solve real systems problems around scale, reliability, performance and developer velocity while partnering closely with applied AI and simulation teams. What will you do? * Design and build production-grade services and pipelines that support ML training, evaluation and inference workflows. * Create durable APIs and data interfaces between research systems, platform components and downstream products. * Improve scalability, reliability, observability and cost efficiency across cloud-based workloads. * Build automation for model packaging, testing, deployment and operational monitoring. * Work with large, complex datasets while maintaining strong standards for data quality, security and reproducibility. * Partner with data scientists and ML engineers to turn prototypes into maintainable software. * Contribute to architecture decisions, code reviews, testing strategy and engineering standards. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The Evolving Landscape of Application Development: Insights from Three Years of Research](https://www.wearedevelopers.com/videos/1459-the-evolving-landscape-of-application-development-insights-from-three-years-of-research) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)