Top Remote Software Engineer Jobs in Madison, WI

Build and maintain scalable, cloud-native APIs and high-value core system components using .NET and related technologies. Lead software architecture and testing discussions, enhance core offerings, collaborate cross-functionally, and ensure quality through code reviews, unit testing, functional testing, telemetry, and performance tuning. Mentor teammates and contribute to continuous technical and process improvement.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Build and ship features for a large-scale Android app using Kotlin and modern Android technologies. Responsibilities include writing tested code, collaborating with product and design teams, improving performance and stability, partnering on APIs and data flows, and participating in code reviews. The role is a full-time, long-term remote contract within the U.S.

Build, test, support, and enhance scalable web applications using Node.js, React, MongoDB, and APIs. Collaborate with cross-functional teams, troubleshoot production issues, contribute to architecture and technical documentation, and lead medium-complexity initiatives. Participate in code reviews, Agile development, on-call support, technical debt reduction, and monitoring. Mentor junior engineers and promote engineering best practices, automated testing, CI/CD, and software quality standards.

Develop and maintain Medicare claims-processing software in a legacy mainframe environment using COBOL and related technologies. Responsibilities include coding, debugging, unit testing, requirements analysis, defect resolution, software installation, technical documentation, and Agile/Scrum collaboration. The developer will support DME contract operations, deliver moderate-complexity solutions, estimate tasks, and coordinate with team members, clients, vendors, and other organizations.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Leads major technical initiatives while designing enterprise identity systems, authorization models, and scalable multi-tenant SaaS architecture. Builds platform components with .NET/C# on AWS, improves data pipelines, resolves complex production issues, and shapes the technical roadmap. Mentors engineers, drives architecture and reviews, coordinates across teams, and supports security, compliance, automation, and continuous platform improvement.

Build full-stack Django applications with a frontend focus, creating intuitive, interactive, and performant data visualizations for complex healthcare pricing data. Collaborate with product and engineering teams to define user experiences, prioritize features, write scalable code, test and debug systems, improve existing functionality, and translate user requirements into technical solutions.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Build and evaluate software prototypes for a blockchain data acceleration network. Develop full-stack solutions, design benchmarks, measure performance against competitors, gather product feedback, and iterate rapidly. Collaborate with engineering and product leaders to validate user needs, inform the roadmap, and communicate findings. The role involves AI-assisted coding tools and may include systems programming, real-time data, P2P networking, blockchain, and high-performance workloads.

Lead end-to-end design, development, and delivery of full‑stack features; drive architecture and code reviews; coordinate engineering work, write design docs and tests, and participate in Agile ceremonies. Must have blockchain/crypto experience.

Build and maintain enterprise web applications, APIs, and containerized microservices using Python and Django. Develop workflow engines, financial validation logic, relational database schemas, asynchronous integrations, role-based access controls, and CI/CD automation. Support complementary applications across multiple technology stacks while maintaining secure, auditable, and reliable systems.

Develops, tests, documents, enhances, and maintains software solutions using Appian and related technologies. The role includes application development, process modeling, system integration, security remediation, performance improvement, user story analysis, technical documentation, and collaboration within an Agile software development team.

Develops, tests, documents, enhances, and maintains software solutions using Appian and related technologies. Designs integrations with external systems, resolves technical issues, remediates security vulnerabilities, improves performance, participates in requirements analysis and Agile development processes, and documents standards. The role also contributes to planning, mentors other engineers, collaborates with team members, and stays current with software development practices and technologies.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Develop and maintain Java enterprise applications using Spring Boot, microservices, REST APIs, Oracle, and MongoDB. Design scalable systems, conduct testing, remediate vulnerabilities, troubleshoot distributed environments, participate in code reviews, document solutions, and mentor junior developers. The role also involves Linux, Git, Maven, Docker, Kubernetes, CI/CD, and cloud platforms such as OCI or AWS. An active Public Trust clearance and cybersecurity certification are required.

Build and maintain backend or full-stack services for Cadence’s remote patient monitoring platform. Collaborate with product owners, stakeholders, customers, and engineers to deliver scalable clinical care features, improve engineering standards and tooling, and support the platform’s continued growth.

Build and maintain automation, integrations, file-processing tools, migrations, and other software that reduces operational toil. Investigate root causes, resolve implementation and escalation issues, develop reusable solutions, and support systems through on-call participation. Partner with commercial, product, and engineering teams while using Ruby on Rails, APIs, workflow automation platforms, and AI-assisted development. The role also involves debugging, optimization, code quality, and ramping onto unfamiliar systems.

Build and maintain full-stack donor-facing giving forms, campaign tools, administrative features, and payment flows across Stripe, ACH, and digital wallets. Own features from technical design through deployment, testing, and production support. Collaborate with product, design, and engineering partners in an Agile environment, contribute to code quality and team initiatives, and participate in rotational support and on-call coverage.

Develops, tests, enhances, and troubleshoots software and database products. Collaborates with senior developers, project managers, and stakeholders throughout design, development, deployment, and code review. Writes unit tests, fixes defects, prototypes features, documents technical decisions, and participates in Agile sprints. The role requires strong programming skills, a bachelor's degree, and the ability to obtain and maintain an active Secret clearance.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.