Top Software Engineer Jobs in Des Moines, IA

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

Design, develop, test, and deploy .NET solutions (APIs and web apps). Build and consume RESTful services, work with SQL and NoSQL databases, use cloud (Azure/AWS) and Docker, apply unit/integration/performance testing, participate in code reviews, define features via spikes, and architect scalable, high-performance systems. Support occasional after-hours and on-call rotation.

The Software Engineer will develop and operate the Praetorian Guard platform, implement backend and frontend solutions, and collaborate with security engineers on features and scalability.

Designs, develops, tests, documents, and maintains software solutions using Pathward's tech stack. Reviews and improves existing systems, remediates security issues, participates in planning and user-story analysis, and mentors other engineers while following development processes and best practices.

Designs, develops, tests, documents, and maintains software solutions. Reviews and improves existing systems, remediates security issues, participates in planning and user story analysis, mentors engineers, and follows development best practices.

Contribute to and optimize the performance of ClickHouse, assist with debugging, collaborate with teams, and engage with the open-source community.

Design, develop, maintain, and extend healthcare billing and enrollment software. Collaborate with architects and engineers on APIs and architecture, triage production issues, write unit tests, perform impact analysis, research solutions, follow secure coding practices, and mentor junior engineers on an Agile scrum team.

Lead full-stack development across backend and frontend systems, implement and maintain features, fix bugs, collaborate with product and design, support client projects, and contribute to a distributed remote engineering team focused on high-impact startup missions.

Lead delivery for the Payroll development team, contribute as a senior full-stack developer, mentor engineers, partner with Product to translate roadmap into shipped features, champion AI-assisted development tools, ensure quality and reliability of payroll and tax functionality, and support production issue resolution.

Design, build, and maintain scalable, responsive frontend applications using React, Vue, and TypeScript. Convert UI/UX designs to pixel-perfect interfaces, optimize performance and memory usage, ensure accessibility, integrate with backend APIs, and contribute to architectural and technical decisions while collaborating with product, design, and backend teams.

Build and maintain front-end and back-end platform features for a SaaS compliance product using React, TypeScript, and Go. Collaborate with product, design, and engineering leads to design relational schemas, write reliable code, debug defects, and automate repetitive tasks to improve team velocity and software quality.

Design, build, test, and deploy scalable front-end and back-end software for a remote literacy assessments team. Collaborate with product, design, data science, and DevOps to improve APIs, reporting, and classroom reliability. Participate in code review, automated testing, deployment automation, monitoring, and cross-functional learning to deliver equitable education tools.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

The Software Engineer in Platform Operations designs and manages core infrastructure, ensuring secure, scalable, and reliable platform operations while collaborating with software engineers to improve deployment experiences.

As an AWS Software Engineer II, you will develop microservices, support legacy systems, and guide junior engineers, while improving operational workflows in an Agile team.

Lead technical direction and hands-on execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; write code; make architecture trade-offs; solve complex production issues; improve engineering quality; lead critical initiatives; and mentor engineers across teams.

Owns technical direction and execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes production code; drives architecture decisions; resolves complex engineering problems; improves testing, security, observability, and development practices; and mentors engineers across teams. The role requires leading major initiatives from design through production in a globally distributed environment.

Owns technical direction and execution for major products and systems. Designs scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; writes code; leads architecture decisions; resolves production issues; improves engineering quality; and mentors engineers across teams. The role requires hands-on leadership, strong system design, and experience delivering complex production systems in distributed international teams.

Build end-to-end production features across backend, frontend, and database. Integrate LLM APIs and agentic workflows into products and internal developer tools. Improve CI/CD, deployment, and developer infrastructure. Debug production issues on GCP and containerized services; participate in code reviews and architecture discussions on a small collaborative team.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Design and implement high-performance networking infrastructure for large-scale AI training on Azure. Lead architecture, produce secure, maintainable code, define test strategies, use AI tools for development and automation, review code, and collaborate across teams to ensure performance, scalability, reliability, and observability.

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.

Build and improve a browser extension and serverless backend using a strongly-typed functional stack. Design algorithms to locate page elements, extract structured data, and integrate AI for web automation. Collaborate on a small distributed team focused on usability and reliability.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.