Top Software Engineer Jobs

Build and deploy production software across frontend, backend, infrastructure, and cloud environments. Develop microservices, APIs, data pipelines, migrations, prototypes, integrations, and internal tooling using Azure, infrastructure as code, and CI/CD. Work within FedRAMP and CMMC constraints, leverage AI-assisted development tools, review and document code, mentor teammates, evaluate technologies, and reduce technical debt. The role requires hands-on ownership across the full software lifecycle in regulated environments.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Develop and maintain scalable, highly available software across the full SDLC. Lead design, implementation, testing, deployment, monitoring, and maintenance of backend services and major features. Contribute to architecture, performance, quality, and system scalability; resolve systemic issues; document requirements; and support customer needs. Mentor engineers, lead technical breakdowns, participate in Agile practices, and work with cloud platforms, messaging systems, machine learning, and distributed data technologies.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Design, build, and operate large-scale L4/L7 gateway and ingress systems for Microsoft traffic. Responsibilities include protocol handling, TLS, HTTP/2, gRPC routing, resiliency, regional failover, DDoS mitigation, tenant isolation, observability, performance tuning, incident response, and Azure edge integration. The role requires hands-on coding in C# and Go, production ownership, on-call participation, and collaboration across Dynamics 365, Power Platform, and Agent 365 teams.

Lead technical strategy and architecture for Microsoft Dataverse’s globally distributed, AI-enabled cloud services. Build and operate scalable microservices, resolve complex production issues, drive reliability and security, and deliver high-quality code. Provide cross-team technical leadership, mentor engineers, guide applied AI system development, and translate customer needs into multi-release platform investments.

Set technical direction and own architecture for core Agent 365 platform components. Design and deliver fault-tolerant, cell-based distributed systems using Azure and AKS. Lead complex cross-service investigations, improve reliability and operational excellence, align partner teams, establish engineering standards, and mentor senior engineers across Microsoft’s agent infrastructure ecosystem.

Lead end-to-end engineering projects for AI-powered pipeline generation, including business data ingestion, enrichment, prospect discovery, agentic workflows, automated outreach, and customer-facing experiences. Design scalable, observable systems, mentor engineers, shape product direction, collaborate with customers, establish engineering practices, and contribute to recruiting and team development.

Lead end-to-end software product development, partnering with customers and cross-functional teams to build AI-native experiences. Design architectures, implement reliable high-performance systems, guide launches and iteration, mentor engineers, conduct code reviews, establish engineering practices, and contribute to recruiting. The role requires strong full-stack skills, product judgment, technical leadership, and the ability to work with TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.

Designs, develops, tests, deploys, monitors, and supports web applications and RESTful services. Translates business requirements into technical solutions, collaborates with business analysts and lead engineers, applies software development best practices, supports operational excellence, meets delivery timelines, and mentors other software engineers. The role requires full lifecycle development experience, containerization, CI/CD, test automation, AI tool usage, and eligibility for a U.S. security clearance.

Senior Software Engineer responsible for delivering major business initiatives, designing scalable distributed services, and building data-intensive applications for transaction processing, stream processing, and machine learning. The role includes improving architecture, establishing engineering standards, mentoring engineers, conducting technical reviews, and partnering with product and business stakeholders. Candidates need backend JVM experience, cloud services expertise, database knowledge, and strong software engineering fundamentals.

Designs, develops, tests, operates, and maintains production software products. The role requires full-stack ownership, scalable and reliable technical design, production-ready code, code reviews, security and compliance adherence, software reliability practices, and collaboration within an agile DevOps environment. The engineer will develop Java EE, REST API, and Spring Boot solutions, with preferred experience in cloud, Kubernetes, Kafka, API gateways, service mesh, and automated testing.

Develop and maintain customer-facing financial software, including authentication and security features. Design, test, deploy, and improve scalable Java, Spring Boot, and Angular applications using cloud technologies, automated testing, CI/CD, Kubernetes, and Terraform. Collaborate with architects, product owners, analysts, and engineers in an Agile environment to translate business needs into technical solutions and deliver reliable customer experiences.

Build and launch user-facing backend features from inception through experimentation and ongoing improvement. Responsibilities include collaborating with product managers, designers, data scientists, and engineers; architecting scalable REST APIs; developing distributed CRUD systems using SQL and NoSQL technologies; writing maintainable, testable code; and mentoring or learning from other engineers.

Develops secure, scalable enterprise software for Whole Lending Technology. Responsibilities include designing and coding Java/Spring microservices, creating architecture artifacts, troubleshooting systems, working with AWS and relational databases, maintaining production stability, and using AI-assisted development tools responsibly. The role also involves analyzing data, improving coding practices and system architecture, collaborating in agile teams, and applying testing, CI/CD, and software development lifecycle practices.

Develop highly reliable full-stack software used across SpaceX, create applications that improve operations, prototype solutions, and own software engineering and product development. Responsibilities include understanding user problems, contributing to architecture and code reviews, optimizing performance, and building systems with modern web, database, deployment, and streaming technologies.

Designs and deploys software for autonomous laboratory automation, including hardware abstraction layers, instrument drivers, workflow orchestration, telemetry, error recovery, sample tracking, and LIMS/ELN integrations. The role integrates robotic platforms, lab instruments, AI and computer vision systems, and real-time digital twins into reliable, production-grade workcells. Collaboration spans software, hardware, automation, and scientific teams to translate laboratory protocols into scalable unattended systems.

Own software projects end to end, from concept through production. Build data pipelines, signal-generation systems, research infrastructure, automated execution systems, and internal tooling. Collaborate with quantitative and AI researchers on modeling approaches while contributing to low-latency infrastructure, security, and machine learning initiatives. The role requires strong Python or C++ engineering skills, statistical reasoning, financial or trading software experience, and comfort working independently onsite.

Own the end-to-end development of a healthcare technology platform, including data models, APIs, backend logic, payments, AI-assisted workflows, automation, and user-facing products. The engineer will make architecture decisions, ensure security, compliance, reliability, and production quality, and work directly with users to solve complex operational problems. Strong Python, NoSQL database, product engineering, and system design experience are required.

Build and launch user-facing web and mobile features using React, React Native, and TypeScript. Own work from scoping through measurement, improve frontend architecture, contribute backend code, and run product experiments using analytics and SQL. Partner with product, data, and engineering teams to improve activation, engagement, and retention, while using AI-driven tools to automate workflows and surface insights.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Leads hands-on design, development, architecture review, testing, troubleshooting, and delivery of enterprise and manufacturing software. Establishes engineering standards, documentation, code review, security, and quality practices while mentoring developers and external teams. Partners with business, manufacturing, infrastructure, and technology stakeholders to deliver reliable, maintainable solutions. Requires substantial software leadership experience, practical manufacturing experience, modern architecture and cloud expertise, and experience with AI-assisted or agentic development.

Develops scalable back-end workflow applications and microservices using Java, Spring Boot, REST APIs, Kafka, PostgreSQL, Docker, and Camunda 8. Builds tested features, APIs, and event-driven services; collaborates on architecture and code reviews; supports internal users; works with stakeholders to resolve defects and deliver enhancements; and improves engineering processes. The role also involves cloud deployment on AWS and Kubernetes, workflow orchestration, and maintaining service-level objectives.

Develop and maintain websites, templates, and supporting tools for mission-critical cybersecurity efforts. Provide software development support to a customer technical team while working with front-end technologies such as React or Angular, backend languages, relational and NoSQL databases, and modern deployment practices. Collaborate in a technical environment focused on defensive cyber operations and contribute to complex, high-impact government missions.