Top Software Engineer Jobs

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.

Leads architecture for Walmart’s large-scale fraud and risk platforms, including real-time detection, policy enforcement, entity resolution, graph intelligence, agentic AI, and investigation workflows. Defines AI-native system patterns, explainability frameworks, model deployment strategies, and integrations across platform, gateway, and data science teams. Ensures high availability, reliability, scalability, latency, and maintainability while providing technical leadership across organizations.

Design, develop, test, document, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans, troubleshoot difficult issues, implement bug fixes, and communicate with customers on requirements, schedules, and technical problems. The role requires expertise in C/C++, .NET, C#, operating systems, networking, algorithms, multithreading, and RPC, with opportunities to lead small projects.

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.

Develop and maintain production-quality software for advanced sensing and data analysis. Design, prototype, test, optimize, and integrate signal and image processing algorithms into scalable architectures and operational systems. Responsibilities may include computer vision, sonar processing, object detection and tracking, sensor characterization, machine learning, data pipelines, and physics-based modeling. The role requires collaboration with multidisciplinary teams and onsite work in Tucson, Arizona.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Drive the full software development lifecycle, design resilient cloud-native systems, build AI-driven applications, conduct architecture reviews, mentor engineers, influence technical decisions, and improve engineering processes, tools, and code quality. Collaborate with stakeholders to translate complex business needs into technical requirements and deliver reliable solutions.

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.

Develop and sustain mission-critical government software and systems using Java, Python, and AWS. Implement functional and system-level automated tests, prototype cloud-based solutions, and collaborate with systems engineers within an Agile development process. The role requires U.S. citizenship and an active or reinstatable TS/SCI with Polygraph clearance.

Develop and sustain mission-critical software and systems for a U.S. Government customer. Apply Python and related technologies including Kotlin/Java, Terraform, Elasticsearch/OpenSearch, and AWS. Collaborate independently and within engineering teams while supporting reliable software solutions, Agile development, and mission-focused technical initiatives. The role requires a TS/SCI with Polygraph clearance and is based in Annapolis Junction with partial telework available after acclimation and training.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

Build and own scalable AI-powered developer tools for Microsoft support engineers. Design agent orchestration, structured-output and multi-agent reasoning systems, modernize mission-critical applications, integrate Copilot and large language models, and deliver reliable production deployments. Resolve complex customer scenarios, mentor technical support engineers, improve processes, develop readiness materials, and apply secure-by-design practices across customer-facing systems.

Build and maintain scalable AI Search software across the full development lifecycle, including Java and front-end development, ServiceNow administrative tools, search UI components, GraphQL APIs, analytics dashboards, and machine-learning functionality. Own design, coding, testing, deployment, reliability, and performance optimization. Develop automated and manual tests using Jenkins, JUnit, Playwright, Selenium, and related frameworks. Collaborate with Product Owners and engineering teams in Agile Scrum processes while supporting customer-reported search UI and UX issues.

Leads the Database Monitoring engineering organization, owning product strategy, roadmap, AI feature development, market expansion, customer adoption, and commercial outcomes. Builds and scales engineering teams across geographies by hiring, mentoring, coaching, and structuring engineering managers and staff engineers. Partners with Product and customers to refine experiences, achieve product-market fit, and deliver measurable value. Requires experience deploying applications on PostgreSQL.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Develop and maintain native Android experiences and AI-powered personalization features for WHOOP’s recommendation engine. Responsibilities include Android architecture, Kotlin development, API integration, testing, performance monitoring, release management, technical documentation, code reviews, and collaboration with Product, Design, Backend, and engineering teams.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.