Top Software Engineer Jobs in Tulsa, OK

Build and operate multicloud Kubernetes infrastructure and platform capabilities, including cloud foundations, networking, identity, cluster lifecycle, disconnected deployments, packaging, GitOps delivery, infrastructure as code, observability, upgrades, and incident response. Partner with engineering teams to provide reusable self-service infrastructure primitives across commercial, government, secure, classified, and disconnected environments.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network requirements into computational models, improve solution quality and scalability, and evolve solver architecture for reliability. Responsibilities include managing project priorities, designing, testing, debugging, and maintaining production software. Preferred experience includes numerical optimization, solver development, performance profiling, distributed or cloud computing, and telecommunications or networking.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Designs and delivers full-stack software features for electromagnetic warfare test and mission systems. Integrates TCP/IP-connected radios, instruments, servers, and rack components; builds accessible Angular interfaces; supports system evaluation, installation, testing, and sustainment. Develops data pipelines, warehouses, visualizations, threat-signal processing, software distribution tools, and on-premises LLM assistants. Works in Agile and DevSecOps environments while tracking project hours and assisting with effort estimates.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Build and maintain NetBox Enterprise, an on-premises product suite. Responsibilities include architecting Kubernetes-based high-availability solutions, extending Kubernetes operators, developing lifecycle management tools, building CI/CD pipelines, managing releases, writing Rust and Python, supporting integration testing, documenting deployment practices, and resolving customer deployment and operational issues.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Develop, test, and ship features for data platforms, pipelines, contributor tools, quality assurance systems, and client-facing infrastructure. Collaborate with senior engineers, participate in code reviews, debug issues, and improve automation supporting large-scale AI training data workflows. The role offers hands-on experience with production engineering, data systems, and AI-adjacent technologies in a fully remote environment.

Build and own high-performance 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, validate product variants through A/B testing, and deliver reliable, testable code. Lead large cross-functional projects while working with TypeScript, JavaScript, React, Redux, Node.js, GraphQL, and proprietary Jest-based automation frameworks.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Lead architecture and build platform services for GoDaddy's Internal Developer Platform used by 1,000+ engineers. Design high-scale APIs, infrastructure orchestration, and AI-powered developer tooling. Partner with infrastructure, security, and platform teams. Own production systems (performance, reliability, on-call) and drive technical direction to improve developer productivity across APIs, CLI, and UI.

Build and enhance electricity cost modeling REST APIs and DBT data pipelines that simulate nationwide energy costs. Translate product and subject matter expert requirements into technical designs, specifications, and implementation plans. Participate in design reviews, improve engineering practices, and collaborate with remote teams. The role involves Python, enterprise Java, cloud deployment, data science tools, NoSQL databases, AI/LLM implementation, and mathematical energy analytics.

Build and operate Airbnb’s large-scale NewSQL storage platform on stateful Kubernetes. Responsibilities include database kernel performance, storage and query internals, replication, CDC, failover, migration tooling, observability, permissions, and service discovery. Engineers investigate production incidents, improve reliability and latency, contribute to open-source database systems, and collaborate across storage, SRE, ORM, and interface teams.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Develop and support Kotlin APIs and high-volume distributed services for audience targeting and machine learning products. Work with Rust, PySpark, Kafka, relational databases, and hundreds of terabytes of daily data. Build reliable systems at scale, optimize existing products, collaborate with product and project leaders, and contribute to engineering culture. The role requires strong JVM-language development, SQL and database expertise, microservices experience, cloud infrastructure knowledge, and effective use of AI coding tools.

Develop and maintain scalable, low-maintenance software with a small team. Advise client teams on modern software development practices, apply test-driven development, and continue building technical skills through ongoing training and personal development.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Designs, develops, reviews, and maintains scalable, highly available software applications across digital channels. Responsibilities include creating technical specifications, writing maintainable code, evaluating architectural solutions, participating in Scrum ceremonies, managing user stories and tasks, monitoring development progress, and mentoring junior engineers. The role requires experience with Claude Code or Google Gemini, modern programming languages, web services, cloud platforms, and software architecture.

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.