Top Software Engineer Jobs

Design, build, and operate cloud-scale, multi-tenant services for Microsoft Edge and Copilot app management. Drive architecture, reliability, security, and cross-team integration from design through production. Mentor engineers, lead technical initiatives, and use telemetry to improve product quality and customer experience.

Build and scale secure, performant backend APIs and core platform services powering Microsoft Copilot. Develop high-quality, tested, maintainable code; collaborate with product managers, designers, data scientists, researchers, and engineers; resolve complex technical challenges; and rapidly deliver AI-powered consumer experiences.

Develop backend software powering Microsoft Search, Bing, Copilot, and AI experiences. Responsibilities include gathering requirements, designing architectures, writing maintainable code, testing and automation, telemetry, reliability, observability, compliance, and large-scale operations. The role requires software engineering expertise and may involve AI/ML frameworks, big data systems, cloud services, and debugging across client and server layers.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Lead the design, implementation, and delivery of Box AI chat and agentic experiences across web and mobile applications. Focus primarily on React and React Native frontend architecture, while collaborating with backend engineers on APIs, interfaces, and delivery milestones. Shape product requirements, establish cross-platform development standards, review code, ensure accessibility and performance, monitor evolving AI capabilities, and participate in on-call support.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Build scalable software supporting AI, computational modeling, and simulation initiatives. Develop APIs, internal tools, proof-of-concept applications, data workflows, and integrations that connect research outputs with engineering systems. Improve code quality through modular design, testing, documentation, code review, packaging, and dependency management. Collaborate with data scientists, modelers, engineers, platform, and DevOps teams while applying CI/CD, containerization, deployment, security, quality, and compliance practices in a regulated medical technology environment.

Develops, maintains, tests, and supports enterprise applications and integrations within WMATA’s Digital Modernization portfolio. Builds scalable data pipelines and cloud-based solutions using OCI, Azure, Lakehouse architecture, and Autonomous Data Warehouse. Provides technical leadership, resolves complex system problems, manages configuration and version control, performs failure analysis, coordinates projects, prepares technical reports, and supports system reliability, production monitoring, and emergency outages.

Build and maintain automation, data, AI, and workflow systems supporting business development and capture operations. Integrate GovDash, Microsoft platforms, CRM systems, federal opportunity sources, dashboards, and AI tools using APIs, workflows, scripts, and data pipelines. Configure proposal and opportunity processes, develop AI/ML workflows for document analysis and retrieval, create executive dashboards, and improve data quality, governance, security, and human-in-the-loop controls. Partner with business development, proposal, contracts, technical, operations, and executive stakeholders.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Build and maintain Palantir Foundry data pipelines, ontologies, applications, workflows, and decision-support capabilities for defense missions. Translate stakeholder needs into technical architectures, integrate structured and unstructured data, troubleshoot production systems, and support client deployments. Collaborate with engineers, analysts, product owners, and mission stakeholders while applying testing, version control, documentation, and deployment best practices. The role requires client-site travel and eligibility for a Secret clearance.

Owns the technical design, development, maintenance, and operations of software products for CMS’s QMARS healthcare systems. Researches technologies, develops proofs of concept, mentors engineers, enforces team processes, and contributes to modernization using Python, React or Angular, TypeScript, and AI technologies. The role requires prior supervisory or lead experience and supports a remote-first team serving public health and healthcare quality improvement programs.

Leads a diverse software engineering team developing complex system software and tools. Manages headcount, budgets, schedules, project delivery, vendor partnerships, risks, and process improvements. Collaborates with technical, program, executive, and AI teams to integrate AI innovations into products and processes. Oversees hiring, coaching, performance management, and career development while providing technical guidance and ensuring high-quality, on-time execution aligned with organizational roadmaps.

Lead the technical architecture for post-sales Customer Success, Renewals, Professional Services, Support, and GTM Operations. Build automation, AI capabilities, integrations, workflows, customer intelligence, and shared data models that improve retention, renewals, efficiency, and customer engagement. Establish engineering standards and technical direction across GTM systems while partnering with business leaders, engineers, and the Pre-Sales GTM Engineer.

Lead the design and evolution of cloud-native platforms, distributed systems, and infrastructure services at large scale. Define architecture across compute, networking, storage, datacenter, and AI infrastructure environments. Improve automation, lifecycle management, observability, reliability, security, and developer productivity. Guide technical strategy across engineering organizations while contributing to GPU, HPC, bare-metal, networking, and distributed computing platforms. Mentor engineers and foster technical excellence through architecture reviews and cross-organizational collaboration.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Leads backend architecture and technical strategy for autonomous vehicle and customer support systems. Designs scalable integrations across Fleet, Uber for Business, Direct, and platform teams; develops proactive trip-lifecycle support, Agentic AI capabilities, reliability, and end-to-end testing frameworks. Drives cross-functional technical alignment and mentors senior engineers toward Staff-level impact.

Builds end-to-end AI Copilot experiences across voice, vision, text, and action. Owns features from concept through scalable production, collaborates with applied AI researchers, rapidly ships experiments, analyzes usage, and iterates on products used by millions. The role requires full-stack frontend and backend expertise, scalable web API development, strong Python skills, and comfort working in ambiguous, fast-moving environments.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service experiences; partner with Security, Infrastructure, and Product; mentor engineers and drive long-term platform strategy, governance, and operational excellence.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Own the full product loop: identify high-impact problems, rapidly prototype and ship AI-accelerated solutions, build internal tools and automations, collaborate with operations and business teams, and iterate based on usage and data to drive adoption and business impact.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Leads full-stack software engineering within an agile Asset Management team. Develops, reviews, tests, debugs, and operationalizes secure production code using Java, Python, AWS, Spring JPA, Hibernate, PostgreSQL, REST, and GraphQL. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs, mentors technical teams, influences architecture and product decisions, and promotes SDLC automation, reusable frameworks, scalability, resiliency, and security.