Top Senior Software Engineer Jobs in Madison, WI

Design, develop, deploy, and maintain enterprise integrations using IBM App Connect Enterprise. Build message flows, APIs, and event-driven integrations, integrate with MQ/Kafka/JDBC, deploy on containers/Kubernetes/OpenShift, implement CI/CD and monitoring, troubleshoot performance, lead projects, mentor engineers, and collaborate with cross-functional teams and vendors.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

The Senior Software Engineer will develop and innovate embedded software for appliance controls, collaborating with teams, and ensuring quality delivery.

The Senior Software Engineer will lead the design, development, and deployment of a scalable SaaS product, collaborate across teams, mentor others, and ensure code quality and sustainability in software solutions.

The Senior Software Engineer will design and develop backend services for quantum computers, mentor junior engineers, and collaborate with interdisciplinary teams.

Build and maintain scalable Revenue Cycle Management platforms and internal tooling supporting payments, claims submission, and operational workflows. Design and implement distributed, secure systems, improve reliability and cost-effectiveness, collaborate with engineering, operations, and business stakeholders, lead technical projects, mentor peers, and participate in on-call incident resolution.

Design, build, and operate the GraphQL API platform that routes high-volume traffic. Deliver end-to-end projects, improve reliability and performance, own SLOs and incident response, mentor engineers, and collaborate with product teams to evolve platform APIs and tooling.

Senior Software Engineer to design and deliver Golang-based microservices, mentor a small pod, estimate and implement features, produce unit and end-to-end tests, collaborate on design and code reviews, improve SDLC, and apply SRE observability practices while working with cloud-scale data stores such as Snowflake, DynamoDB, and Cassandra.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

The Senior Backend Software Engineer will develop and optimize critical systems for the aerospace industry, managing project priorities and overseeing various software projects.

Seeking an experienced Software Engineer for the Spacetime team to develop systems for satellite communication, requiring expertise in algorithms and large-scale distributed systems.

The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.

Design, build, and maintain scalable end-to-end systems and APIs/SDKs for an enterprise custody platform. Work full-stack across databases, cloud deployments, CI/CD, and security; troubleshoot issues, integrate emerging technologies, and mentor junior engineers.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

Develop and enhance software solutions for mineral exploration, collaborating with geologists and data scientists, and driving insights from data systems.

The Senior Bilingual Software Engineer will align U.S. teams with the Platform Core team in Japan, focusing on high-impact problems and maximizing platform leverage through clear communication and collaboration.

Design, develop, and maintain scalable web applications using .NET backend and Angular/React frontend. Collaborate on requirements, implement RESTful APIs, optimize performance, debug, maintain documentation, support end-users, and work within CI/CD and DevOps workflows.

Design, develop, customize and integrate Microsoft Dynamics 365 CRM/CE solutions. Build entities, forms, workflows, plugins, reports and dashboards using CRM SDK, C#, JavaScript, ASP.NET and SQL. Troubleshoot issues, estimate implementation approaches, collaborate with stakeholders, document solutions, and mentor junior developers. Banking domain experience preferred.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Own architecture and delivery of core ledger and transaction processing systems. Design and build highly available, high-performance backend services, drive cross-team technical initiatives, establish platform standards, mentor engineers, and embed AI to improve operations and workflows.

As a Senior Software Engineer, you'll develop and build tools for creative projects while leading feature development and collaborating with teammates.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

Build and own backend, data architecture, and integrations for operations. Replace manual workflows with automations and AI agents, ship internal tools, ensure reliable data flows, monitoring, and documentation, and support production systems used by ops.