Top Software Engineer Jobs in Madison, WI

Design, build, test, and deliver complex customer-facing software features and services for Slate’s digital platform. Own technical approaches, quality, APIs, cloud-based web services, integrations, and trade-off decisions. Collaborate with product and UX teams, conduct code and design reviews, identify risks, coordinate work, and mentor teammates while delivering reliable, scalable solutions.

Leads the design, development, and maintenance of complex backend software systems. Owns significant features end to end, builds scalable APIs and services, ensures code quality and performance, contributes to architecture and technical direction, mentors engineers, and collaborates with cross-functional teams. The role requires extensive C# and .NET experience, insurance industry expertise, microservices, cloud databases, automated testing, and containerized environments.

Lead the architecture and development of Green Dot’s cloud-native Banking as a Service platform. Design scalable APIs, microservices, event-driven systems, and integrations; guide CI/CD, testing, observability, security, and compliance practices; lead incident response and architectural decisions; reduce technical debt; mentor engineers; and partner with product and engineering teams to deliver reliable banking and payment solutions.

Develop and deploy responsive full-stack web applications from design through production. Translate product requirements into high-quality software, maintain pixel-perfect design standards, collaborate with product, design, and QA, and help guide technology strategy. The role acts as a technical lead on product initiatives and reports to the CTO, with a focus on AI-native development and secure fintech workflows.

Build and maintain full-stack features for Vanta’s third-party risk management products, including vendor onboarding, lifecycle management, monitoring workflows, data models, and platform abstractions. Write tested code, participate in reviews and architecture decisions, and collaborate with product, design, and engineering teams to deliver customer-facing functionality. Experience with TypeScript, React or Node.js, web applications, databases, and REST or GraphQL APIs is expected.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Design and develop scalable enterprise software for the Lending team. Build backend systems using .NET, Python, relational and NoSQL databases, messaging systems, Docker, and AWS. Plan, triage, and prioritize work while applying object-oriented programming, SOLID principles, domain-driven design, distributed systems, and event-driven architecture practices.

Build and ship full-stack product features using Python, Django, PostgreSQL, JavaScript, and Vue.js. Scale Kubernetes and AWS infrastructure, develop Selenium-based test and workflow automation, integrate APIs and CI/CD pipelines, and improve monitoring and observability. Collaborate with customers, clinical stakeholders, and internal teams to analyze workflows and deliver production-ready solutions in healthcare technology environments.

Build and evolve developer-facing trading APIs, lead backend projects end to end, design scalable systems, support new chains and bridges, improve reliability and performance, investigate onchain transaction failures, participate in on-call, and collaborate with product, legal, GTM, and customers. The role requires deep DeFi and EVM expertise, strong system design skills, and ownership in a remote environment.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Provides senior technical leadership across engineering teams by shaping architecture, guiding complex software development, mentoring engineers, and driving scalable, secure, and reliable solutions. Responsibilities include hands-on coding, design reviews, API and system architecture, CI/CD and tooling improvements, cross-team technical alignment, project leadership, and partnership with product and design stakeholders. The role is remote with quarterly travel to Tampa, Florida.

Provides principal-level technical leadership across engineering teams, shaping architecture, engineering standards, scalable software solutions, and delivery practices. The role combines hands-on software development with design reviews, technical decision-making, mentoring, CI/CD and platform improvements, system reliability, and cross-team collaboration. It also partners with product and design stakeholders and may lead high-impact initiatives. Remote work is available with required quarterly travel to Tampa, Florida.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Lead technical direction for a central infrastructure team supporting all product engineering. Design and maintain AWS infrastructure, Terraform modules, CI/CD workflows, observability, security, networking, cost-visibility tooling, and operational platforms. Coordinate multiple initiatives, improve reliability and incident response, establish paved roads adopted by feature teams, guide infrastructure strategy, and coach engineers across the organization.

Lead architectural vision and delivery for complex, scalable SaaS systems. Design cloud-native distributed systems using Docker and Kubernetes, develop foundational abstractions, reduce technical debt, and drive engineering best practices. Partner with Product, Design, and Engineering leadership, mentor senior engineers, and contribute to hiring. Apply deep C# and .NET expertise, performance analysis, debugging, and AI-assisted development, including production LLM integrations.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Build and own end-to-end AI observability capabilities, including data ingestion, infrastructure, data models, and product visualizations. Develop systems that surface cost, token usage, errors, and anomalies across AI agents. Collaborate with product and design, ship customer-facing SaaS features, guide best practices, and iterate through experimentation. Participate in an on-call rotation after approximately 90 days.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Own end-to-end verification and validation for complex cloud-native software systems. Design comprehensive testing strategies, build scalable backend and frontend automation frameworks, identify coverage gaps, perform root cause analysis, integrate tests into CI/CD pipelines, and improve testing efficiency. Apply AI-assisted tools to testing and debugging, evaluate emerging AI capabilities, mentor engineers, and raise quality standards across teams.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.