Top Remote Software Engineer Jobs in Portland, OR

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Design, develop, and maintain full-stack applications and services to support operations for genetic lab tests. Collaborate with stakeholders to define requirements, build sustainable applications, improve development processes, handle PHI under HIPAA training, and pass background checks.

Lead the architecture and delivery of scalable compliance-platform capabilities for government vendors, federal agencies, and SLED organizations. Design new workflows, shared infrastructure, and tagging systems while partnering with engineering, product, go-to-market teams, and early design partners. Translate evolving requirements into durable solutions, lead complex cross-functional projects, and help shape engineering culture in a rapidly scaling environment.

Leads UBC’s Platform Development team, overseeing software architecture, application delivery, platform modernization, and engineering standards. Manages architects, development managers, and software engineers while guiding SDLC practices, Agile delivery, CI/CD, testing, deployment, documentation, security, and operational support. Defines enterprise platform roadmaps involving APIs, workflow orchestration, integrations, event-driven architecture, data systems, and AI-enabled automation. Partners with Information Security and Enterprise Architecture to deliver scalable, secure solutions in an FDA-regulated environment.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Design, develop, maintain, and support a large Salesforce environment across Sales Cloud and Service Cloud. Build Apex, Aura, and LWC solutions; implement Data Cloud and AgentForce capabilities; maintain integrations and data flows; troubleshoot production issues; create reports and dashboards; recommend automation; participate in architecture, testing, deployment, documentation, and code reviews; and enforce scalable Salesforce development practices.

Architect and develop the frontend and full-stack features for Legion, a real-time Command and Control platform managing large autonomous aircraft swarms. Responsibilities include distributed collaborative infrastructure, telemetry and sensor-data visualization, scheduling and data-link interfaces, deployment, CI/CD, QA, and DevSecOps. The role requires building high-performance web applications with React or a comparable framework, potentially incorporating geospatial interfaces, video streaming, and WebGL/OpenGL.

Leads the day-to-day management and delivery of internal and partner engineering teams. Responsibilities include assigning work, unblocking engineers, maintaining scoped tickets in Linear, coordinating shared workstreams, shaping technical direction with product and engineering teams, managing performance and growth, and supporting hiring and team structure. The role also champions spec-driven development and AI-assisted engineering practices while managing distributed engineers across time zones.

Lead design-engineering for Thunderbolt by turning ambiguous AI product ideas into prototypes and production-ready front-end experiences. Build prototypes in the codebase, define AI interaction patterns, improve usability/accessibility, create reusable components and design-system elements, and partner with cross-functional teams to ensure enterprise readiness, security, and user trust.