Software Engineer Jobs in Grand Rapids, MI

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Develops, tests, deploys, and supports AI-enabled applications and services within an Agile team. Responsibilities include building retrieval and API integrations, containerized services, automated tests, CI/CD pipelines, monitoring, incident response, documentation, and production support. The engineer collaborates with product, security, analyst, and partner teams while gaining experience with cloud platforms, enterprise systems, and AI-assisted development tools.

Leads architecture and development of scalable cloud-native, web, and connected software products primarily on Azure. Designs backend services, APIs, cloud infrastructure, and web interfaces while modernizing legacy applications. Provides technical leadership in Agile teams, drives DevOps, CI/CD, testing, observability, security, and performance practices, and mentors engineers. Partners with stakeholders, architects, program managers, and customers to define technical strategy, deliver connected data-driven systems, and align engineering decisions with business outcomes.

Develop and support full-stack, cloud-native applications using Spring Boot, MySQL, Vue.js, Nuxt.js, REST APIs, Docker, and AWS services. Responsibilities include designing APIs, building serverless solutions, implementing requirements, participating in Scrum planning, prioritizing development work, testing applications, and maintaining CI/CD pipelines. The role requires collaboration, risk assessment, quality delivery, and meeting customer deadlines.

Provides second-level remote software support to customers through phone, email, and chat. Diagnoses software issues, collaborates with development teams, documents problems, creates knowledge-base content, trains customers, and participates in on-call coverage. Requires familiarity with databases, Windows, programming languages, networking, material handling, and customer service. Includes approximately 5% travel to customer and company locations.

Participate in a 12-week software engineering internship focused on Appian low-code application development. Build and modify business applications, integrate AI capabilities, test and troubleshoot workflows, maintain existing applications, and collaborate through Agile ceremonies. The role includes mentorship, networking, professional development, and cross-functional exposure across the organization.

Develop and maintain automated testing frameworks, test suites, test doubles, and supporting infrastructure for enterprise web applications. Integrate automated tests into CI/CD pipelines, perform performance and stress testing, track defects, and collaborate with developers and product owners throughout the software lifecycle. The role also contributes to code reviews, testing methodology improvements, mentoring, and release quality. This is a full-time, onsite position in Grand Rapids, Michigan.

Lead embedded real-time software development across the full lifecycle, including architecture, requirements, implementation, integration, verification, validation, certification, and delivery. Define hardware and software interfaces, APIs, test procedures, and software architectures. Lead project execution, metrics, schedules, costs, quality, trade studies, technology selection, software reuse, and automated build and testing within a global engineering team.

Develops and maintains iOS features within an agile squad using modern software engineering practices. Responsibilities include implementing quality software, participating in code reviews and communities of practice, documenting technical knowledge, researching customer issues, following accessibility and development standards, and managing software-related risks. The role requires strong problem-solving abilities and experience with Swift, iOS APIs, testing, version control, and object-oriented design.

Leads end-to-end enterprise architecture for platform and client solutions, from discovery and prototyping through production delivery and operational readiness. Designs cloud-native infrastructure, APIs, microservices, data systems, partner integrations, and security patterns. Provides hands-on coding, technical leadership, governance, stakeholder workshops, code reviews, mentoring, and architecture risk management. Guides Dual-Track Agile delivery while developing reusable platform capabilities and applying AI-assisted development tools.

The Software Developer will build and maintain software solutions, collaborating across departments, troubleshooting, and implementing updates with a focus on full-stack development and automation.

Build and maintain scalable web applications, write testable code, participate in agile development and code reviews, support production via a rotating on-call schedule, and contribute to product reliability and observability.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.