Top Software Engineer Jobs in Tulsa, OK

Develop and maintain scalable, fault-tolerant components for YB Anywhere to automate deployment and management of YugabyteDB across cloud and on-prem environments. Collaborate with product, frontend, QA, and DevOps teams, perform code reviews, mentor engineers, and improve operational workflows and performance.

The Senior Full Stack Software Engineer will design and develop software solutions, collaborate on product ideation, and improve tooling. They'll work autonomously to build an exceptional product in the fintech space.

The Software Engineer will design and implement solutions for investor onboarding and compliance, engage in product development, and influence design decisions across technical, security, and visual aspects.

The role requires developing telehealth features, building clinical tools, maintaining secure APIs, and collaborating on product discovery. A high-ownership position focusing on meaningful production systems in a startup environment.

The Software Engineer will develop and enhance web applications using Ruby on Rails, solve user issues, and implement new features in collaboration with teams.

The Software Engineer will work on Automattic's products, focusing on scalable systems, code reviews, and product design, while collaborating globally.

Lead architecture, design, and delivery of Windows desktop simulation software. Drive modernization, own feature delivery, resolve complex bugs and performance issues, mentor engineers, collaborate on QA/CI/CD, and document/share technical designs.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

As a Software Engineer, you will enhance Ubuntu's cloud infrastructure, automate image delivery, and collaborate with cloud giants, delivering high-quality software features.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

The Senior Front-end Engineer will design and deliver scalable, user-friendly interfaces using React and Node.js, collaborating with cross-functional teams to enhance user experience and optimize performance.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

The Software Engineer III develops solutions for healthcare applications, focusing on backend and frontend features, while collaborating in an Agile environment.

The Senior Front-End Developer will build scalable React applications, lead UI architecture decisions, mentor team members, and optimize front-end performance using AI tools.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The Principal Software Engineer will define technical roadmaps, guide system architecture, mentor leaders, and drive product direction in Capital Supply operations.

Develop and maintain software applications for the custom cabinet industry, manage projects, and troubleshoot issues while collaborating in a team environment.

Design, develop, and maintain backend APIs for products like text-to-speech and subscriptions, while optimizing performance and collaborating with teams on product strategy.

The Software Engineer role involves developing and operating AI Voices in a cloud environment, enhancing performance, and resolving production issues. Candidates should have experience with Python services and cloud deployment, ideally with Kubernetes.

As a Software Engineer, you will work with AI researchers to deploy models, improve performance, and deliver critical services.

The role involves deploying ML models, improving performance of AI services, and operating production services in a fast-paced environment. Candidates should have experience with Python, cloud environments, and containerized deployments.

The role involves collaborating with teams to deploy ML inference workloads, improve model performance, and enhance system visibility for AI Voices.

As a Staff Software Engineer, you'll design and build scalable data infrastructure, optimize data pipelines, and collaborate across teams to deliver effective streaming solutions, leveraging technologies like Kafka and Spark.