Top Senior Software Engineer Jobs

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.

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.

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.

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 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.

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.

Develop and maintain software integrations between payload hardware, mission applications, and autonomous systems. Integrate cameras, radios, sensors, SDKs, and APIs; build configuration and monitoring tools; customize operator interfaces; debug Linux, networking, hardware, and distributed software systems; create Docker deployment workflows; and collaborate on upstreaming production-ready changes. Participate in field testing, demonstrations, and operational support.

Build and modernize Finalsite’s payment processing engine by automating transaction tracking and reconciliation, integrating fraud detection and chargeback management, resolving discrepancies across processor versions, and improving scalability and reliability. The role involves backend architecture, SQL Server optimization, cloud service debugging, observability, automated testing, PCI compliance, and AI-assisted development across a large multi-repository codebase.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Lead technical strategy and architecture for Nextdoor’s monetization platform, building scalable, reliable, secure systems for advertising and subscription products. Partner with Product, ML, Data Science, and Engineering teams to deliver complex initiatives. Improve engineering standards, observability, release safety, and developer productivity while remaining hands-on in implementation, debugging, launches, and production operations. Mentor senior engineers and develop technical leaders.

Lead a team building LLM-powered products, including conversational interfaces, autonomous research agents, and data-driven tools. Own architecture for agents, retrieval, evaluation, and reliability infrastructure while remaining hands-on with production code. Establish engineering standards, mentor engineers, support hiring, partner with researchers and product stakeholders, and plan delivery across the election cycle.

Develops and manages enterprise web applications for FACTS Student Information System. Responsibilities include researching and designing software, defining requirements with Product and Engineering, writing and testing code, reviewing pull requests, using AI coding tools, and mentoring less experienced engineers. The role uses a .NET and Angular stack and collaborates with globally distributed teams in a hybrid environment.

Lead software engineering for Microsoft 365’s AI evaluation platform. Responsibilities include defining requirements, designing scalable services, writing maintainable code, mentoring engineers, coordinating product and release plans, managing on-call reliability, improving observability and performance, and building automated evaluation tools that accelerate model and product development.

Leads technical vision and roadmap for Freenome’s cloud platform, designs and operates scalable Kubernetes-based systems, and drives cross-team initiatives. The role troubleshoots complex platform issues, improves reliability and cloud-cost efficiency, supports AI adoption, and builds secure infrastructure for AI and data workflows. It also mentors engineers, partners with scientific and technical teams, and remains hands-on with architecture, coding, design reviews, and operations.

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.

Design, build, test, and optimize scalable backend systems, APIs, databases, and production software. Deploy LLM-powered features and workflows, use AI coding tools, validate AI outputs, and evaluate emerging technologies. Collaborate with business teams, contribute to architecture and Agile delivery, resolve production issues, document decisions, present outcomes, and mentor peers.

Design and develop core system management components for MemVerge’s memory-centric infrastructure platform. Responsibilities include building configuration, monitoring, and analytics capabilities; writing unit, functional, and integration tests; resolving performance and reliability issues; collaborating with UI, UX, controller-plane, customer-facing, and solution-engineering teams; and creating scalable cloud-based architectures.