Top Remote Software Engineer Jobs in Portland, OR

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

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.

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.

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.

Lead and scale MEDHOST’s software engineering organization, overseeing product delivery, modernization, security, reliability, scalability, and operational performance. Develop technology strategy and architecture roadmaps while driving AI-first transformation across products, engineering workflows, and enterprise operations. Establish performance metrics, govern technology investments, manage strategic initiatives, and advise executives on emerging technologies, risks, and opportunities. The role also requires implementing generative AI, machine learning, and AI governance within healthcare software environments.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.

Develop and maintain features for a podcast subscription platform using PHP and Laravel. Scale the application, support user and administrator experiences, build website embeds and third-party integrations, and help apply AI tools to accelerate development and improve code quality and security. Collaborate within a small, Agile-oriented remote team while evaluating technologies and influencing the evolving product stack.

Design, develop, and maintain scalable .NET backend services, responsive React applications, SQL Server data solutions, RESTful APIs, and microservices. Collaborate with architects, product managers, and QA teams; participate in code reviews and architectural decisions; troubleshoot and optimize applications; and ensure security, scalability, and maintainability. The role also contributes to continuous improvement and may involve cloud platforms, CI/CD, containerization, and Agile development.