Top Remote Software Engineer Jobs in Tulsa, OK

Design and build performance-focused TV UI architectures for Netflix’s streaming applications across smart TVs, game consoles, and cable boxes. Enable scalable development for engineering teams by improving developer experience, ergonomics, resource management, performance, memory usage, and technology integration. Responsibilities include systems-level architectural thinking, API design, profiling, collaboration with UI, design, platform, and tooling teams, and making thoughtful implementation trade-offs.

Build and own UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithms, and engineering teams to define experiences, write testable TypeScript and JavaScript code, develop automation, and validate product variants through A/B testing. The role focuses on performance and memory-constrained devices and has measurable customer and business impact.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Develop and support customized Acumatica ERP solutions using the Cloud xRP Platform, C#/.NET, T-SQL, APIs, workflows, dashboards, and reports. Translate business needs into technical specifications, build integrations, conduct testing, troubleshoot issues, document solutions, and collaborate with clients, analysts, project managers, and technical teams. The role also provides technical guidance, manages multiple assignments, and supports continuous improvement.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Participate in a practical internship developing web, mobile, and digital applications. Build software development skills, apply programming logic to solve business problems, learn software architecture concepts, and collaborate in agile environments alongside experienced professionals on real-world projects.

Designs, develops, tests, and maintains scalable software features and services across backend and frontend systems. Collaborates on architecture with engineering, product, QA, and DevOps teams; contributes to CI/CD, monitoring, testing, and operational reliability. Requires C#/.NET and API expertise, cloud platform familiarity, Docker, AI development experience, and strong communication and problem-solving skills.

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Own collaborative editing across React clients and Node services, including offline storage, queued mutations, realtime WebSocket synchronization, conflict resolution, and data persistence. Build agent-enabled editing experiences, investigate data-loss issues across environments, and collaborate with designers, backend engineers, and open-source contributors. The role requires production TypeScript experience across React and Node, rich-text editor frameworks, offline applications, WebSockets, and advanced Postgres skills.

Own the AMS frontend, designing and shipping React and TypeScript features for data-intensive grids, forms, dashboards, and widgets. Integrate RESTful APIs using TanStack Query, manage state with React Context or Zustand, implement SurveyJS forms, and optimize performance for large datasets. Collaborate with backend engineers and designers, contribute to code reviews and Agile ceremonies, and work across time zones with an Australia-based team. The role requires US citizenship and willingness to pursue future security clearance.

Lead legacy application assessments and modernization strategy for U.S. Air Force systems. Own architectural decisions, technical direction, and test strategy while collaborating with government engineers, vendors, product managers, researchers, and designers. Promote secure, compliant, agile engineering practices; coach government teams; evaluate technical environments; communicate recommendations; and demonstrate modern AI-assisted development practices. The role is fully remote, requires U.S. citizenship and CAC eligibility, and involves occasional quarterly travel to Air Force bases.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Lead end-to-end design and delivery of AI-infused, enterprise full-stack applications on Azure. Architect resilient solutions, build Copilot/agentic features, enforce engineering best practices, mentor engineers, collaborate with PM/UX teams, ensure quality/reliability, and support production services and integrations.

Build and optimize high-throughput Java backend systems processing hundreds of millions of contact profiles. Design scalable solutions for entity resolution, data quality, attribute selection, and contact publication. Develop testing frameworks and rules for fragmented data, collaborate with data scientists and engineering teams, and contribute to architecture, performance, scalability, and technical strategy across the Person Data platform.

Build zero-to-one products from prototype through production, working through ambiguity and partnering closely with product, design, and customers. Develop scalable systems, run experiments and technical spikes, influence product direction, and uphold reliability, performance, engineering standards, and customer experience. Mentor engineers and contribute to architecture, coding practices, and cross-functional collaboration.

Leads the design, development, deployment, and support of scalable software systems. Responsibilities include coding, debugging, code reviews, performance optimization, API development, testing, cloud-native deployments, monitoring, incident response, and maintaining development standards. The role mentors engineers, collaborates cross-functionally with product and design teams, supports production systems through on-call rotation, and advances AI-driven engineering practices and modernization.

Design, develop, and maintain scalable JVM-based microservices platforms using the Spring ecosystem. Collaborate with product, architecture, DevOps, and QA teams; create reusable, testable code and frameworks; support high availability and fault tolerance; resolve operational issues; conduct code reviews; and maintain technical documentation. The role also supports CI/CD, search technologies, cloud platforms, data pipelines, and emerging generative AI applications.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.