Top Software Engineer Jobs in Des Moines, IA

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.

Design and deliver scalable, secure software systems for Bankrate’s digital products. Responsibilities include shaping architecture, developing APIs and cloud services, optimizing CI/CD pipelines, partnering with product and design, delivering large initiatives independently, resolving cross-team technical issues, mentoring engineers, improving engineering standards, and evaluating tools that enhance reliability, performance, and team productivity.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.

Leads technical initiatives for Toast’s restaurant scheduling product, designing and delivering scalable full-stack software. Responsibilities include architecture, API and system design, roadmap influence, cross-functional collaboration, engineering quality, performance, and technical leadership. The role also promotes AI-assisted development and improved employee and customer experiences.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Develops software solutions at Zoom, collaborating in a fast-paced, customer-focused environment to support communication and collaboration products. The provided description does not include specific responsibilities, qualifications, technologies, salary figures, or travel requirements.

Lead the architecture and technical direction of Forward Financing’s core fintech platform. Design scalable distributed backend systems, guide cross-team initiatives, establish engineering best practices, resolve incidents, and mentor engineers. The role owns the technical roadmap and architectural vision while partnering across teams to improve reliability, observability, code quality, and delivery. Ruby on Rails expertise is required, along with strong communication, influence, agile development experience, and a broad backend or full-stack perspective.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Develop prototypes, automation tools, reporting, monitoring capabilities, and lightweight integrations supporting metadata management, data governance, and data discovery. Collaborate with engineers, product teams, business stakeholders, and data professionals to improve metadata quality, publishing workflows, and operational efficiency.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Provides technical leadership and solution architecture for annuity products, integrating vendor policy administration systems with internal platforms. Owns architecture roadmaps, vendor evaluations, release coordination, testing automation, technical debt reduction, incident response, quarterly planning, and process automation. Partners with business, engineering, QA, data, and vendor teams; mentors engineers and occasionally develops prototypes or resolves complex technical issues.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Develops, enhances, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, IDMS, DB2, and related technologies. Troubleshoots production issues, collaborates with end users to define requirements, ensures performance and security, applies Agile practices, and mentors junior developers. The role supports remote personnel serving a Kansas City, Kansas customer and requires the ability to obtain and maintain Public Trust clearance.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Software engineering intern supporting Wellmark’s Marketing and Digital team. Responsibilities include developing customer-facing web experiences, building accessible user interface components, supporting content management systems, gathering requirements, collaborating with technical and business stakeholders, and participating in Agile delivery processes.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.