Top Software Engineer Jobs in Tulsa, OK

We are seeking a Java Full Stack Developer to develop and maintain applications in a start-up environment, using technologies like Java and Cloud Native architecture.

Looking for a Java Full Stack Developer to design and launch features in a fast-paced startup-like environment, using technologies like Java and cloud platforms.

The Senior Salesforce Developer enhances and supports the Salesforce platform and Oracle CPQ through technical solutions, configurations, integrations, and maintenance, collaborating with stakeholders and ensuring best practices are followed.

Develop and lead Java/J2EE applications, utilizing technologies such as Spring Boot and Pivotal Cloud Foundry. Must have strong communication skills and experience in both front and back end development.

The Staff Software Engineer will shape and build new AI-driven products, driving technical direction and collaborating with cross-functional teams. Responsibilities include defining project scopes, making foundational technical decisions, shipping products rapidly, and adapting based on user feedback, all in a dynamic environment focused on venture creation.

The role involves developing a next-gen analytics product using TypeScript, React, and AWS, focusing on feature ownership and production lifecycle management.

Build and deliver end-to-end features across backend APIs (NestJS/TypeScript) and frontend interfaces (React/TypeScript), integrate third-party services, own production services (on-call, monitoring, incident response with Datadog), contribute to architecture, and mentor other engineers. Work across web and React Native mobile apps, and help scale integrations and event-driven systems.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.