Top Software Engineer Jobs

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement while working independently in an ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires strong backend engineering, production systems experience, Python and Bash proficiency, and independent ownership of projects. Experience with web crawling, distributed processing, GCP, Terraform, machine-learning datasets, or audio processing is advantageous.

Build scalable data pipelines and processing systems for AI model training at petabyte scale. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, optimizing throughput and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, optimizing data processing for quality, throughput, and cost, partnering with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and lead UI tooling and AI-powered workflows for Unreal Engine. Design frameworks for UI authoring, iteration, debugging, and runtime capabilities; maintain large-scale UI codebases; resolve performance and memory issues; collaborate with internal teams and licensees; and mentor engineers.

Build and lead development of AI-powered UI tools and frameworks for Unreal Engine. Own UI technology used in editor and in-game experiences, set technical direction, mentor programmers, optimize performance and memory, and collaborate with internal teams and licensees to solve UI challenges.

Lead the engineering team building LangSmith’s AI observability and evaluation platform. Responsibilities include hiring and mentoring engineers, setting technical direction, ensuring scalability and reliability, partnering with product and design, writing high-quality code in Go, Python, and TypeScript, and engaging customers to improve the product.

The Backend Software Engineer will design and build infrastructure for evaluating and enhancing OpenAI's support automation, collaborating with teams to develop pipelines and APIs.

Design, build, and operate high-performance, cloud-native distributed services supporting machine learning and data platforms. Lead Java and Spring Boot development, AWS architecture, infrastructure as code, observability, reliability improvements, and production troubleshooting. Translate ambiguous requirements into robust service designs, influence engineering standards, lead technical reviews, mentor engineers, and promote responsible AI-assisted development practices.

Designs and operates production-grade Python services, APIs, distributed systems, and cloud-native applications for enterprise machine learning platforms. The role uses AWS, infrastructure as code, observability tools, automated testing, CI/CD, and secure deployment practices. Responsibilities include architectural guidance, code reviews, mentoring, production support, resiliency engineering, and collaboration with product, platform, and site reliability teams. The engineer also helps adopt AI-assisted development practices and may build solutions using generative AI and large language models.

Lead the architecture and development of a scalable mobile ecosystem across iOS and Android. Design AI agentic workflows using LLMs, modernize legacy systems with .NET and cloud-native technologies, and oversee mobile CI/CD and Azure Kubernetes deployments. The role provides technical mentorship, establishes coding standards, leads architectural decisions, and drives high-scale testing and reliability across global construction technology solutions.

Design, develop, test, deploy, and maintain secure, scalable software for Mastercard’s payment enablement services. Own delivery tasks, participate in prioritization, conduct code and architecture reviews, troubleshoot distributed production systems, manage CI/CD pipelines and artifacts, improve performance and observability, and mentor engineers. Collaborate with product and business stakeholders to translate requirements into maintainable solutions while promoting engineering standards, automation, security, and operational excellence.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Design, implement, test, and ship secure, high-performance C++ features for Microsoft Edge, focusing on enterprise security, Data Loss Prevention, and Copilot integrations. Lead architecture across browser, cloud, identity, compliance, and management systems; collaborate cross-functionally to deliver scalable customer solutions. Mentor engineers, influence technical strategy, and improve product quality through telemetry and customer feedback.

Build full-stack internal applications, automation platforms, and AI-enabled tools for aerospace engineering and business teams. Own a major software project from requirements through deployment, developing interfaces, backend services, APIs, databases, integrations, and LLM-powered capabilities. Collaborate with stakeholders, gather user feedback, iterate on solutions, and deliver production-quality software.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Hands-on CTO Co-Founder responsible for defining technology strategy, architecting and building an AI-powered healthcare payments platform, leading scalable cloud-native software development, integrating billing and payment systems, and recruiting and mentoring the engineering organization. The role spans product execution from MVP to commercial scale and requires collaboration with investors, customers, and company leadership.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Design, develop, test, and maintain software applications, including next-generation cryptographic products. Collaborate with cross-functional teams to integrate solutions, troubleshoot issues, lead software development, apply technical standards, and identify AI-driven improvements. The role requires embedded-platform development, Rust and C/C++ experience, agile practices, technical leadership, and an active Secret clearance.

Leads AI-assisted software development adoption and engineering modernization across SecDevOps teams. Oversees microservices, API integration, data modernization, automation, technical debt reduction, scalability, and cross-team coordination. Develops modernization roadmaps, tracks productivity improvements, identifies delivery risks, and communicates technical progress to executives. Requires strong software architecture, AI development tooling, engineering transformation, technical leadership, and communication experience.

Develop and maintain moderately complex RPA solutions, including design, coding, testing, troubleshooting, monitoring, and enhancements. Collaborate with business analysts, IT teams, process owners, and senior developers to gather requirements and deliver reliable automations. Support UiPath Orchestrator, deployments, version control, documentation, libraries, frameworks, schedules, and environment troubleshooting. Provide informal support to junior developers while following coding standards and best practices.

Develop and evaluate software engineering solutions supporting the Air Force ACME program, an AI-driven classification management platform. Responsibilities include software design, testing, system validation, technical documentation, program reviews, engineering support, risk management, trade-space analysis, roadmap development, and technical training across acquisition, integration, sustainment, deployment, and operations.

Build and scale reliable full-stack products for paving contractors, including AI-powered estimating, crew optimization, and automated business insights. Own system performance, security, observability, automation, testing, deployment, and technical standards. Collaborate with engineering, product, design, and company founders while helping shape team culture and development practices.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

Own end-to-end deployment of enterprise AI products for global supply chain customers. Build customer-specific software extensions, APIs, bidirectional data pipelines, integrations, and agentic workflows. Partner with clients, end-users, and IT teams to translate operational needs into scalable engineering solutions, overcome technical and adoption barriers, and guide platform evolution. Codify field solutions into reusable deployment playbooks and software components.