Top Software Engineer Jobs in Tulsa, OK

Own and deliver polished, accessible, high-performance frontend experiences using React and TypeScript. Set frontend technical standards, mentor engineers, use AI-assisted development tools, and contribute to product roadmaps. Build backend services and APIs in Go as needed, collaborate with stakeholders, document user-facing products, and help shape engineering culture and quality.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Lead design and implementation of large-scale Pub/Sub and messaging services within Azure Event Grid/Microsoft Fabric. Define scalable, reliable architectures, drive testing and CI/CD automation, build developer tooling, mentor engineers, manage incident response and operational excellence, and collaborate with PMs, EMs, researchers, and customers to deliver production-ready cloud services.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

Owns the BASIS program’s software QA strategy, automation framework, compliance posture, and quality deliverables. Leads automated testing across unit, integration, regression, system, and end-to-end levels; enforces TDD, DevSecOps integration, traceability, defect management, accessibility testing, and quality metrics. Mentors QA engineers, leads reviews and defect triage, maintains compliance documentation, and briefs Government stakeholders on quality risks, metrics, and remediation.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Architect and build scalable, reliable onboarding systems for financial institutions. Responsibilities include developing full-stack features, integrating legacy banking and compliance systems, solving multi-tenant and real-time processing challenges, translating banking requirements into technical solutions, and owning system performance and scalability. The role involves direct collaboration with customers, product teams, banks, and engineering leadership in a fully remote startup environment.

Designs, develops, configures, and supports Edifecs healthcare EDI solutions and transaction mappings. Works with 837, 834, 835, 820, and 270/271 transactions; troubleshoots transmissions, configures validations, and develops Groovy scripts. Leads Agile and DevOps efforts, mentors engineers, supports QA, and designs scalable AWS applications using containers, microservices, and CI/CD. Provides technical leadership, architecture guidance, performance tuning, and stakeholder consultation.

Develops, maintains, and enhances scalable web applications, internal tools, libraries, and shared components for international enterprise clients. Collaborates with cross-functional teams, participates in code reviews, creates technical documentation, and shares knowledge. Requires strong software development principles, design patterns, cloud, database, CI/CD, messaging, testing, and mobile framework experience.

Designs, builds, and scales full-stack web applications using React, TypeScript, Python, and AWS. Develops APIs and backend services, optimizes relational and document databases, implements automated testing, and manages Docker-based deployments and CI/CD pipelines. Collaborates with technical and non-technical stakeholders, translates business requirements into production-ready solutions, communicates clearly, and mentors colleagues while promoting strong engineering practices.

Lead architecture and implementation of Chainguard Repository’s customer-facing package registries, APIs, and artifact-serving services. Build and operate highly available Go backend systems, improve scalability, reliability, observability, performance, and load testing, and shape repository support for libraries, containers, images, and APKs. Collaborate across engineering teams to deliver secure, reliable infrastructure at scale.

As a Full Stack Software Engineer, you will develop and maintain robust backend systems using Ruby on Rails, collaborating with cross-functional teams to enhance the real estate platform's performance and user experience.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Build and maintain Python-based automation, services, test infrastructure, and performance analysis tooling for a distributed database system. Collaborate with internal stakeholders, improve developer tooling and reproducible testing, analyze system performance, and create documentation and runbooks. The role requires strong software fundamentals, systems thinking, Linux and CI experience, and the ability to learn new languages and systems quickly.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Develops, modernizes, integrates, tests, documents, and sustains software systems for NAVSUP BSC. Responsibilities include Java and .NET application development, secure coding, debugging, database integration, cybersecurity testing, CI/CD automation, artifact management, cloud-native infrastructure, technical documentation, production support, and quality audits. The role collaborates with engineering, security, operations, and customer teams while supporting Agile development and Navy security standards.

Design and implement Wi‑Fi 6 (802.11ax) and 802.11s mesh networking software for enterprise access points. Develop HMAC components, optimize throughput/latency/airtime, integrate on NXP-based Embedded Linux platforms, maintain hostapd/wpa_supplicant/mac80211, debug with packet captures, and collaborate with RF/firmware/QA teams for product releases.

Design, develop, and optimize platform-level embedded software and reusable frameworks for telecom products (including 5G). Collaborate across systems teams, perform architecture and code reviews, support integrations with customers/partners, and mentor engineers while ensuring performance, scalability, and reliability on heterogeneous processors.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design and build JTX, a high-performance Solana trading application. Develop low-latency, reliable systems for order routing, execution, real-time market data, and position management. Own critical infrastructure, implement security across transaction signing and user data, make architectural decisions, and collaborate with product and infrastructure teams in a fast-moving 0-to-1 environment.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

As a Staff Software Engineer in Infrastructure, you will lead a team in building high-performance, distributed systems, guide project direction, mentor engineers, and improve data ingestion architecture.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.