Top Cloud Software Engineer Jobs in Chicago, IL

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

As a Software Development Engineer, you will develop with Golang, focusing on high-quality code delivery, documentation, and testing within the detection engine team.

Lead architecture and implement scalable features for the Risk Cloud platform using Spring Boot/Java and modern back-end tools. Write and review tests, collaborate cross-functionally using Agile, improve front-end performance, and contribute to CI/CD and infrastructure-as-code practices.

Lead the engineering team for product delivery at Runpod, focusing on customer-facing features while managing roadmaps, team growth, quality, and cross-functional collaboration.

Solution Architects engage in product training, then lead customer projects. They gather business use cases, document requirements, educate customers, develop technical training, and assist in tech delivery through coding and problem-solving.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

The Forward Deployed Enterprise Architect designs AI roadmaps with partners, leads bespoke prototypes, navigates compliance, integrates systems, and ensures measurable business impact.

Design and build full-stack applications that leverage AI/ML insights, ensuring high performance and scalability across server-side and front-end services.

Lead design and implementation of agentic AI systems including RAG/GraphRAG pipelines, multi-agent architectures, and integrations across Salesforce. Build scalable back-end services, operationalize AI research into production, enforce engineering best practices, and collaborate with product, data engineering, and data science teams to improve agent performance.