Top Software Engineer Jobs in Tulsa, OK

Lead and develop a software engineering team focusing on modernizing a legacy platform using Java/Spring, transitioning to Spring Boot and React, while implementing CI/CD and SDLC practices.

As a Senior Software Engineer, you will build and enhance internal systems and tools that enable product engineering, focusing on high-quality software across the core platform, and contribute to intelligent AI-driven product capabilities.

Contribute as an Agile Scrum team member to develop features across data marketplaces, mobile/web apps, and APIs. Participate in cloud migrations, test automation, code reviews, and production support with a focus on scalability, uptime, and continuous improvement.

The Sr. MuleSoft Developer will oversee client integration platforms, implementing security and researching integration technologies while maintaining and developing solutions.

The role involves building creative tools for content editing, enhancing features with PixiJS and WebGL, and improving collaboration workflows.

Administer and govern PDM/PLM systems (Autodesk Vault, SolidWorks PDM, PTC Windchill). Ensure engineering data integrity, BOM and item/master alignment, troubleshoot multi-CAD issues, support upgrades, migrations, and governance activities, and collaborate with engineering, IT, manufacturing, and business stakeholders.

Seeking a full stack engineer to develop applications, requiring skills in Node.js, SQL, and modern JavaScript frameworks with a focus on scalability and performance.

Lead and technically supervise cross-functional Agile teams building and rearchitecting HIS software products. Hire, mentor, set technical direction, prioritize backlogs, drive CI/CD and quality, coordinate with product and business stakeholders, and champion Agile practices to deliver cloud and on-premises solutions that improve healthcare outcomes.

Embed with strategic clients to design, build, and ship production Python code and data pipelines. Integrate RESTful APIs, optimize complex SQL, architect scalable data workflows, lead technical discovery and workshops, and translate operational needs into product improvements while ensuring mission-critical outcomes.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.