Top Software Engineer Jobs

Leads and scales a multidisciplinary software organization developing embedded, IoT, cloud-connected, and web solutions for commercial equipment. Owns architecture, technology platforms, security, AI enablement, delivery, Agile execution, compliance, budgets, and engineering team development. Partners with product, hardware, manufacturing, cybersecurity, and executive teams to deliver secure, high-quality products aligned with hardware milestones and market needs.

Build and operate scalable Twitch data platform capabilities, including data warehouses, pipelines, storage, transformation, and data movement tools. Improve reliability, flexibility, and scalability across high-volume distributed systems, collaborate with engineering peers, contribute to technical vision, and enhance workflows using AI coding tools.

Develop scalable Java Spring Boot APIs, microservices, React-based interfaces, ETL pipelines, and SQL data solutions. Deploy workloads on AWS, optimize performance, implement monitoring and automation, and collaborate with product, frontend, data, and DevOps teams. The role also contributes to architecture, accessibility, reliability, and data-driven product improvements.

Designs, develops, and maintains secure, scalable full-stack web applications using React.js, .NET, C#, REST APIs, microservices, and cloud-native architectures. Deploys solutions on Azure using containers, serverless technologies, infrastructure as code, and CI/CD pipelines. Manages relational and cloud databases, monitors production performance, and troubleshoots issues. Collaborates in Agile Scrum teams through code reviews, sprint planning, retrospectives, and cross-functional delivery.

Lead design and delivery of enterprise Adobe Experience Platform solutions. Architect schemas, identity, ingestion, governance, personalization, and integrations with CRM/data lakes. Optimize CI/CD and deployment processes, mentor engineering teams, coordinate cross‑functional stakeholders, ensure security/privacy compliance, and produce architecture documentation and implementation roadmaps.

Develop and maintain machine-centered software applications using maintainable coding practices, pair programming, Test Driven Development, and Agile methods. Support CI/CD pipelines, application documentation, cloud application and REST API development, software testing, debugging, and deployment. Collaborate with internal and external developers through pair programming, community events, and mob sessions. The role is remote with occasional travel and may require time on a Vermeer campus.

Lead two engineering teams modernizing a large Java monolith into an API-first, event-driven microservices platform on Azure. Own architecture, technical quality, delivery outcomes, reliability, observability, hiring, team development, vendor accountability, and roadmap execution. Partner with Architecture, Platform, SRE, QA, Product, and business stakeholders while guiding technical decisions, code quality, production readiness, and modernization tradeoffs.

Architect and develop scalable frontend applications supporting sales and operational workflows. Lead frontend architecture, frameworks, tooling, accessibility, security, testing, performance, and maintainability. Mentor engineers, guide technical roadmaps, lead large projects, collaborate with product, design, backend, and platform teams, and modernize internal platforms. The role also champions pragmatic AI-assisted development and supports early-stage product evolution in a complex transactional domain.

Design, develop, test, deploy, monitor, and support scalable full-stack software for specialty healthcare workflows. Own features across the software development lifecycle, build frontend and backend systems, APIs, data integrations, and cloud infrastructure, and maintain automated tests. Collaborate with product and engineering teams, develop clinical workflow expertise, mentor engineers, and responsibly use AI-assisted tools for development, testing, debugging, and documentation.

Build web software prototypes with Data Scientists to demonstrate ML and AI model potential. Develop data visualizations, custom interfaces, APIs, and interactive experiences that validate ideas, support user studies, inform implementation approaches, and enable strategic decisions. Guide Data Scientists in prototyping while balancing development speed with realism.