Top Remote Software Engineer Jobs in Portland, OR

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.

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.

Designs and implements Salesforce environments supporting multi-product release, regression, and performance testing. Defines sandbox strategy, metadata configuration, refresh processes, integrations, data sharing, test data, and onboarding sequences. Troubleshoots performance and metadata issues while ensuring compliance with VA security, federal, GovCloud, and FedRAMP requirements. Collaborates with federal clients, product teams, testing teams, infrastructure stakeholders, and governance groups to translate requirements into hands-on Salesforce solutions.

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.

Design, develop, test, deploy, and support web and software solutions; estimate and document work; troubleshoot and monitor systems; implement CI/CD and DevOps practices; collaborate with stakeholders; specialize in web UI/UX, CMS platforms, modern frameworks, APIs, and scalable architectures.