Top Software Engineer Jobs

Build and own full‑stack applications for clinicians and researchers: real‑time oversight interfaces, schema-to-API-to-UI features, no-code agent behavior tools, and natural‑language exploration of healthcare data. Ensure high correctness, reliability, and performance for systems handling sensitive patient data while collaborating with designers, clinicians, and customers.

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Build and operate high-throughput backend and infrastructure services powering healthcare AI agents. Own core platform services end to end, design for concurrency and reliability, improve performance and observability, handle sensitive healthcare data, and influence architectural decisions. The role requires production experience with distributed systems, service design, debugging across services, queues, and databases, and on-site work in New York City or San Francisco.

As a Senior Full-Stack Engineer, you will build applications for clinical operations, design APIs, implement real-time interfaces, and collaborate with teams on patient data management.

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

Own the end-to-end PEO onboarding experience, from discovery through setup. Set technical direction, design durable full-stack solutions, integrate systems across teams, and improve conversion through funnel instrumentation and experimentation. Build in a regulated domain with strong quality, testing, and observability standards. Use AI tools in engineering workflows and develop AI-assisted customer guidance. Influence cross-functional partners and raise engineering standards across the team.

Leads software engineering within an agile Corporate Technology team, designing, developing, troubleshooting, and reviewing secure enterprise applications. Builds Java and Spring Boot solutions using microservices, APIs, databases, cloud-native architecture, messaging, and modern UI frameworks. Drives automation, application resiliency, CI/CD, responsible AI-assisted development, technical evaluations, and engineering communities of practice. Coaches teams on secure AI adoption, validates AI-generated outputs, and promotes scalable engineering standards.

Lead the design, development, and operation of a business observability platform using React, Java, Spring Boot, Kafka, AWS, MySQL, and Databricks. Responsibilities include building event-driven microservices, data-heavy user interfaces, CI/CD pipelines, cloud deployments, production observability, and resilient data access patterns. The role also establishes engineering standards, leads cross-functional delivery, and promotes secure, responsible use of AI-assisted development tools.

Build Go and Python software infrastructure for computer-aided manufacturing, including geometric representations, spatial algorithms, process planning, and machine-software integration. Collaborate with process experts to convert physical knowledge into explicit models, constraints, interfaces, and testable behavior. Ensure geometric correctness, reproducibility, and validation through testing and physical measurements while using AI throughout development.

Designs, develops, and hardens Microsoft 365 Copilot Agent Platform services, including distributed runtime orchestration, multimodal capabilities, durable long-running tasks, APIs, telemetry, and partner tooling. Provides technical leadership, mentors engineers, drives reliability, security, observability, and performance, leads cross-product planning, and participates in on-call operations. Collaborates with engineering, product, and partner teams to deliver scalable platform features across Microsoft 365 applications.

Design, develop, deploy, and operate planetary-scale Kubernetes infrastructure for Azure Monitor and observability services. Lead architecture and code reviews, improve reliability, security, networking, diagnostics, and cost efficiency, and resolve complex production issues end to end. Collaborate across teams and Azure regions, establish engineering standards, mentor engineers, drive architectural alignment, and help safely apply AI-assisted operations to cloud infrastructure.

Design, develop, deploy, and operate cloud-scale Azure regional networking infrastructure spanning router hardware, operating systems, optical transceivers, and distributed orchestration systems. Lead architecture and cross-team technical initiatives, write maintainable code, improve reliability, observability, performance, and automation, apply AI-driven engineering practices, and mentor engineers while collaborating with hardware, supply chain, datacenter operations, research, vendors, and senior leaders.

Build and operate large-scale distributed data-access services supporting Microsoft 365 and Copilot. Responsibilities include designing query, blob, and gRPC services; developing C# and Rust libraries; owning production reliability; improving performance and scalability; conducting design and code reviews; collaborating across teams; and mentoring engineers.

Design, build, and operate cloud-scale, multi-tenant infrastructure for Microsoft Power Platform and AI services. Lead Kubernetes infrastructure, infrastructure-as-code automation, resiliency engineering, regional deployment strategies, fault modeling, incident response, self-healing tooling, and safe rollouts. Partner with product, SRE, and Azure teams to improve reliability, security, scalability, and operational excellence across distributed cloud platforms.

Sets technical direction for Microsoft’s Agent 365 shared infrastructure platform. Designs and operates fault-tolerant, cell-based Azure systems supporting high-scale, multi-tenant agent workloads. Leads complex cross-service investigations, improves reliability and engineering standards, coordinates platform strategy across teams, and mentors senior engineers. Responsibilities include balancing scalability, reliability, cost, security, and compliance while delivering resilient distributed services.

Own full-stack software development across frontend applications and backend services, from architecture and implementation through release and production support. Lead technical decisions, mentor engineers, improve deployment and observability tooling, write tests, and participate in on-call and incident response. Use AI-assisted development tools responsibly, collaborate with product and QA teams, and contribute to planning, code reviews, and postmortems.

Leads end-to-end development of full-stack web and mobile applications, data pipelines, AI-powered integrations, authentication systems, and deployment automation for internal employee experience tools. Owns architecture, implementation, reliability, stakeholder management, roadmap planning, and technical documentation. Mentors engineers, establishes software development standards, and collaborates with Security, Legal, HR, Finance, and Engineering teams.

Own the architecture, adoption, and evolution of the company’s frontend design system and shared component libraries. Build standardized tooling, packaging, distribution workflows, and scalable frontend foundations covering theming, accessibility, performance, testing, versioning, and documentation. Develop reliable AI-assisted interface frameworks, collaborate with product engineering and design teams, author technical designs, drive decisions, and mentor engineers.

Build production features in Python and TypeScript for a specialized software platform. The role involves creating domain-specific content libraries, defining acceptance criteria, shaping product direction, reviewing automated design outputs, and supporting early external users. Candidates should combine professional software development experience with mechanical, electrical, or plumbing building-systems expertise. The position is fully on-site in San Francisco five days per week.

Build and scale backend cloud services powering autonomous vehicle fleets and ride-hailing integrations. Develop partner APIs, process real-time vehicle and trip state, improve production reliability, and deliver services from requirements through rollout and iteration. Lead technical designs, mentor engineers, and collaborate with product, vehicle engineering, operations, and external partners.

Build and maintain a full-stack sewer inspection analysis platform using React, TypeScript, Node.js, PostgreSQL/PostGIS, AWS, computer vision, geospatial analysis, and Temporal.io. Responsibilities include developing interactive dashboards, scalable APIs, video-processing workflows, mapping and risk-assessment tools, microservices, cloud infrastructure, and automated testing and deployment pipelines.

Leads software engineering architecture and technical practices across multiple teams. Serves as a domain expert, consultant, mentor, and technical risk advisor while improving platform reliability, testing, scalability, security, and operational excellence. Designs solutions for functional and non-functional requirements, supports cloud-based systems, identifies systemic issues, and partners with product and operations teams to deliver critical initiatives.

Design and implement native Windows components in modern C++; work on device redirection, input, display, audio/video, USB/HID and driver-adjacent code; diagnose kernel/user-mode issues, optimize performance and memory, and own features end-to-end including telemetry, dumps, and live-site debugging.

Designs and leads scalable backend services, REST APIs, microservices, and distributed systems using Java and Python. Partners with frontend, mobile, product, DevOps, and architecture teams to deliver secure, reliable applications. Responsibilities include cloud-native development, database optimization, CI/CD, testing, observability, troubleshooting, technical strategy, mentoring, documentation, and platform modernization.