Top Software Engineer Jobs in Portland, OR

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Designs, develops, tests, deploys, and sustains WalkMe and other digital adoption solutions. Translates business requirements into in-application guidance, workflow automation, and user-support experiences. Builds Smart Walk-Thrus, Launchers, SmartTips, Surveys, and related content; uses analytics to improve adoption and user experience. Troubleshoots web applications, validates cross-browser functionality, documents designs, manages technical risks, and collaborates with business stakeholders, application owners, and technical teams.

Administer Databricks and develop scalable data architectures, pipelines, migration processes, and data-processing solutions. Troubleshoot complex data issues, improve system reliability, collaborate with cross-functional teams, and support organizational data strategies. Mentor colleagues, promote engineering best practices, and evaluate emerging technologies to improve workflow efficiency. The role requires at least four years of Databricks administration experience and offers a fixed-duration, project-based assignment.

Design, implement, and maintain complex multithreaded and distributed software applications. Develop desktop and web applications, web services, and data-intensive systems while following SDLC practices. Collaborate on compute-system design, procurement, and setup; support customer sites; lead major product features; mentor team members; and stay current with relevant software technologies and standards.

Develops scalable software, data platforms, advanced analytics, and machine learning solutions for Nike’s digital products. Responsibilities include designing and integrating enterprise applications, building prediction and optimization systems, implementing cloud-native microservices, contributing to machine learning platforms, conducting code reviews, and ensuring security, reliability, and performance. The role requires collaboration across teams and expertise in enterprise integration, procurement and finance processes, cloud infrastructure, DevOps, observability, event streaming, and application development.