Top Software Engineer Jobs in Madison, WI

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

The Senior Software Engineer will build and ship full-stack features, design scalable systems, integrate AI tools, and maintain high coding standards in a fast-paced startup environment.

The role involves designing and developing a universal search platform, integrating data, leading system architecture, and mentoring junior engineers.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

The Senior Software Engineer II will work on AI-driven solutions, developing and deploying scalable applications while mentoring engineers and collaborating with cross-functional teams.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

The Senior Software Engineer will develop a new Managed Service Provider solution for mobile security, focusing on feature development and complex projects, guiding initiatives from design to deployment.

As a Senior Software Engineer at Aspire, you'll lead the development of user-facing features, manage complex projects, and collaborate with cross-functional teams to enhance product functionality.

Lead and own the engineering function: make architecture and release decisions, mentor backend engineers, respond to P0/P1 incidents and author RCAs, perform hands-on backend work (including ActiveMQ→SQS migration), monitor via DataDog/CloudWatch/X‑Ray, optimize infrastructure costs, maintain Confluence runbooks, and own DMS/OEM integrations and SOC 2/PCI-DSS engineering responsibilities.

Lead technical ownership and hands-on engineering for the integration backbone of a financial SaaS platform. Modernize legacy integration processes into .NET services, design reliable REST and file-based connectors, optimize Oracle SQL/PL/SQL, improve observability, and drive cloud-native Azure patterns. Mentor engineers, enforce standards, and champion AI-first development to increase delivery velocity and operational quality across multiple production ecosystems.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Design, implement, and operate cloud-scale secure data access features for Azure Blob Storage. Lead end-to-end development, collaborate with stakeholders, improve availability, observability, performance, and apply AI-assisted engineering to enhance productivity and operations.

Hands-on Principal engineer who designs, builds, and operates production-grade Azure solutions with strategic customers; develops an observability-focused Azure service, supports live production via on-call and incident response, creates reusable tooling and reference implementations, and drives platform improvements while mentoring field engineering teams.

Design, build, and maintain end-to-end, accessible, secure full-stack software for a federal health/civilian agency. Build Section 508-compliant UIs, backend APIs, and services; follow API-first, CI/CD, automated testing, and security best practices; identify and remediate technical debt; mentor engineers and collaborate with cross-functional teams to deliver reliable, performant government software.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Lead quality efforts across backend services, APIs, and customer-facing apps. Design and implement automated test frameworks, build custom tooling and load testing solutions, improve testing pipeline scalability, mentor engineers, and apply GenAI/LLMs to testing and test-generation challenges.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.