Top Database Software Engineer Jobs in Chicago, IL

The Software Engineer will build new systems, enhance existing ones, and integrate with external systems, collaborating closely with developers, QA, and product managers.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

The role involves improving MongoDB's networking and observability components, leading projects, and collaborating with colleagues throughout the project lifecycle while ensuring a reliable distributed database system.

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

Lead architecture and implementation of a new frontend platform, define org-wide frontend best practices, mentor engineers, collaborate with product/design/backend, operationalize tools and CI/CD, drive cross-team initiatives, and ensure high-performance, maintainable, and accessible frontend systems.

The Senior Salesforce Developer will manage the Salesforce ecosystem, develop custom applications, build integrations, and ensure quality delivery while collaborating with stakeholders.

As a Staff Engineer, you will enhance Flink SQL components, ensuring efficient stream processing and contributing to Open Source Apache Flink. Responsibilities include design, code quality, mentoring, and industry engagement.

The Senior Software Engineer will lead teams to build secure, high-scale cloud applications, ensuring system reliability and delivering software solutions.

Support the development of data-driven visibility and analytics tools across a large-scale service provider network, assisting in dashboard deployment and network observability capabilities.

Develop and support Enterprise Integration services, focusing on API development using IBM ACE, managing integrations, and ensuring security practices in the API lifecycle.

The Deployed Engineer will co-architect and build production AI agents, work closely with customers on technical evaluations, and advise on deployment and post-sales architecture.