Top Senior Software Engineer Jobs

Build and own customer-facing backend product features from design through delivery. Scale systems processing high-value transactions, architect reliable infrastructure for complex business logic, and work autonomously in a fast-moving startup. Use code-generation assistants daily with reviewer oversight, applying strong algorithms, data structures, and software architecture skills. The role is remote and full-time in the United States.

Own and develop secure, scalable lending applications with a backend focus using Java and Spring Boot. Design APIs and integrations, improve testing and CI/CD, operate containerized services, troubleshoot production incidents, and promote reliability and secure engineering. Apply AI-assisted development responsibly, mentor engineers, lead technical decisions, and improve engineering standards across an Agile team.

Lead the design, development, testing, implementation, and support of scalable software applications and systems. Provide technical leadership, mentor engineers, translate requirements into maintainable solutions, manage technical risks, and collaborate across engineering, product, and operations teams. The role emphasizes backend engineering, web applications, Java-based services, AI-assisted development, system integration, and modern engineering practices. This is a full-time, in-office position in Salt Lake City with occasional travel.

Senior software engineer responsible for designing, developing, testing, and supporting scalable web applications, APIs, services, integrations, and database-backed systems. The role owns solutions from design through production, builds automated testing and CI/CD quality gates, uses observability to improve reliability, troubleshoots production issues, influences technical direction, reviews code, mentors engineers, and advances engineering practices.

Develops, tests, releases, troubleshoots, and secures enterprise, web, responsive, and mobile applications. Designs APIs, databases, microservices, deployment pipelines, automated testing, monitoring, and cloud-based solutions within an Agile DevSecOps environment. Provides architecture guidance, mentors engineers, supports application security and performance reviews, evaluates AI-generated code, and may provide technical leadership and on-call support.

Designs, implements, integrates, tests, and debugs software for an integrated air and missile defense system. Decomposes roadmap features, participates in architecture discussions, conducts peer reviews, and collaborates with cross-functional teams and international stakeholders in an Agile environment. The role supports technology refresh, foundational cybersecurity enhancements, cloud-native and microservices architectures, automated testing, and continuous integration.

Designs, implements, integrates, tests, and debugs software for an integrated air and missile defense technology refresh. The engineer decomposes roadmap features, participates in architecture discussions, conducts peer reviews, and collaborates with cross-functional teams in an Agile/Scrum environment. The role requires Python and Java development, full SDLC experience, automated testing, CI/CD, version control, and familiarity with RHEL/Windows. Desired experience includes cloud-native architectures, microservices, Docker, Kubernetes, Helm, cybersecurity, and classified information handling.

Build and operate mobile build, CI, release, rollout, and shared mobile-platform systems. Improve pipeline reliability, observability, dependency management, release safeguards, monitoring, and rollback practices. Develop mobile APIs, server-driven UI, navigation, deep links, and reusable components. Coordinate release readiness and incident resolution across engineering, quality, and product teams while mentoring engineers and reducing developer friction.

Build and operate scalable, event-driven backend services for an AI agent platform, including real-time integrations, APIs, streaming connections, gateways, and CLIs. Integrate LLMs into production systems, own features from architecture through deployment and iteration, and ensure reliability under failure and load. The role also emphasizes testing, observability, code quality, technical decision-making, mentorship, and operating cloud services on Kubernetes.

Develop and maintain Windows-based client and server applications using C# and .NET. Translate high-level requirements into detailed software requirements, implement maintainable production code, and perform comprehensive automated testing. The role uses WPF, Entity Framework, SQL, WCF, REST services, Visual Studio, Git, and Jira, with opportunities to support modernization using Azure, modern .NET, Docker, and cloud security technologies.

Designs, develops, tests, deploys, monitors, and troubleshoots resilient software solutions. Contributes to architecture, technical strategy, roadmaps, prototypes, process migration, and project planning. Supports continuous integration, resolves complex application issues, collaborates with product and engineering teams, and mentors junior engineers. Requires strong software development lifecycle knowledge, cloud infrastructure experience, database and testing expertise, technical documentation skills, and the ability to guide others.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Design and develop features for Azure App Service Linux, improve platform reliability and resilience, investigate production issues, support live services, monitor systems, perform rollouts, and root-cause outages. The role requires strong software engineering, Linux, distributed systems, and object-oriented programming experience, along with autonomy and customer focus.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Design, build, and operate scalable software services, APIs, data systems, and applications for Microsoft Advertising’s campaign platform. Lead architecture and implementation of high-impact features, improve reliability, performance, security, and cost efficiency, and own production operations. Partner cross-functionally to modernize legacy systems, integrate AI capabilities, and deliver advertiser-focused solutions. Mentor engineers and provide technical leadership across teams.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design, build, and operate reliable distributed AI training and inference platforms. Responsibilities include incident management, automated validation, GPU and compute fleet optimization, observability, production tooling, infrastructure automation, and root-cause debugging. Provide technical leadership, mentor engineers, and lead initiatives across infrastructure, security, networking, and service teams while improving platform availability, scalability, performance, cost efficiency, and developer productivity.

Senior software engineer responsible for designing, building, and maintaining scalable full-stack assessment capabilities. The role partners closely with Product Management, UX, QA, and platform teams to deliver secure, reliable software, contribute to architecture and technical strategy, modernize legacy systems, and use AI-assisted development tools. The engineer owns technical workstreams end-to-end, mentors peers, communicates trade-offs, and supports high-scale education technology products.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Owns the technical health and roadmap of multiple production systems, leads complex projects from planning through deployment, and builds scalable enterprise software. Establishes engineering, testing, security, observability, and AI-agent development standards; reviews and verifies AI-generated code; operates CI/CD pipelines; resolves complex incidents; mentors engineers; and collaborates with business stakeholders. The role requires strong software architecture, full-stack development, databases, testing, cloud, container, and production operations experience.

Leads design, development, and operation of secure, scalable cloud platform services. Writes and reviews production code, drives responsible AI-assisted engineering practices, evaluates architectures and vendors, improves automation and operational stability, partners with IAM and architecture teams, leads design reviews, and mentors engineers.

Build and operate custom data applications and AI agents for mid-market clients. Own engagements end to end, including discovery, system design, coding, deployment, production iteration, and client demos. Develop LLM features, establish AI-native engineering practices, deploy reliable applications across cloud platforms, create reusable components, and help shape the technical stack, processes, and growing engineering team.

Design and maintain AI agents, automated workflows, connectors, and middleware for software integration, release readiness, testing, and deployment. Build a structured software knowledge base and integrate systems including Jira, Confluence, GitHub, Microsoft 365, and Monday.com. The role requires automating ambiguous software management processes, ensuring observability and error handling, and collaborating across teams. This is a full-time remote position, with a preferred location in the San Francisco Bay Area.

Own software features end to end, from requirements and technical design through implementation, testing, deployment, and production operations. Design and maintain scalable distributed systems across AWS, GCP, and Kubernetes; troubleshoot reliability and performance issues; participate in code reviews and on-call rotations; collaborate with product and SRE teams; and mentor junior engineers. Preferred experience includes CI/CD, microservices, observability tools, cloud platforms, and AI application technologies such as LLMs, RAG, MCP, and multi-agent frameworks.

Design, build, test, deploy, and scale enterprise full-stack applications using Java, Spring Boot, React, Angular, databases, microservices, REST APIs, and cloud-native technologies. Develop responsive user interfaces, optimize data models and queries, and support real-time, data-intensive systems. Collaborate with global stakeholders in an Agile environment, improve application reliability and security, apply modern engineering practices, and mentor junior engineers while leveraging AI-assisted development tools.