Top Software Engineer Jobs in Tulsa, OK

Lead architecture and hands-on implementation of an offline-first edge computing platform in Go. Design distributed messaging and cloud-to-edge synchronization, optimize services for resource-constrained in-store hardware, maintain Kubernetes/Helm deployments, mentor engineers, and collaborate with Product and DevOps for phased rollouts and migrations.

Lead the development of a scientific search platform integrating AI/ML capabilities for advanced search functionalities, guiding engineering efforts in building scalable, production-grade systems.

Lead Amazon Connect contact center implementations and migrations, design contact flows and conversational AI, integrate CRMs and omnichannel channels, build AWS Landing Zones, implement IaC and CI/CD, run architecture workshops, produce technical documentation, and participate in managed-services on-call rotation.

Maintain and update client websites for automotive dealership accounts: implement content and structural changes, fix redirects and errors, optimize for SEO and performance, work in CMS platforms (e.g., WordPress), and collaborate with SEO, content, and design teams in a fully remote agency environment.

Lead architecture, configuration, and hands-on development of a Salesforce-based PSA platform. Translate business processes into scalable designs, build integrations (CPQ, ERP, NetSuite), implement custom Apex/LWC/Aura/Flow solutions, and create governance, reporting, and forecasting workflows. Act as technical lead for PSA initiatives and produce system documentation while improving data quality and platform scalability.

Design, develop, and deploy secure, scalable Salesforce solutions using Apex and Lightning Web Components. Implement Case/Knowledge business logic, Omni-Channel routing, and secure integrations with legacy federal systems. Contribute to DevSecOps pipelines, participate in code reviews and UAT, and collaborate with architects, BAs, and PMs to meet federal security and compliance requirements.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Design, build, and maintain software applications; collaborate with engineers, analysts, and stakeholders; resolve bugs and production issues; write scalable, testable code; perform testing and debugging; produce technical documentation; mentor peers; participate in on-call rotation; leverage the team's data ecosystem to inform application design and improvements.

Lead and grow a Core UI team owning the design system, shared component libraries, frontend architecture, and engineering-UX partnership. Drive standards for accessibility, performance, testing, and documentation; set roadmap and delivery priorities; mentor engineers; and collaborate with product, design, and other engineering teams to improve UI consistency and velocity.

Design, develop, test, and deploy scalable cloud-native microservices in Azure using C#/.NET Core. Implement CI/CD, diagnose and fix defects, conduct code reviews, document APIs, mentor peers, and collaborate with architects and DevOps to deliver secure, maintainable platform services.