Top Software Engineer Jobs in Portland, OR

Leads the technical vision, architecture, development, and delivery of FOS software products. Manages and scales engineering teams, drives modernization from legacy to modern technology stacks, oversees cloud, microservices, APIs, CI/CD, quality, security, and reliability practices, and collaborates with product and business stakeholders. The role also supports talent recruitment and development, compliance with SOC 2 requirements, disaster recovery planning, and continuous engineering improvement.

Lead an engineering team delivering automated month-end close pipelines for client accounting teams. Oversee ERP integrations, SQLMesh and DuckDB transformations, journal-entry outputs, controls, reconciliations, exception handling, and approval workflows. Maintain architectural boundaries across Elixir, Python, and platform components while converting bespoke client solutions into reusable capabilities. Manage technical roadmaps, multiple client engagements, engineering standards, and team development while partnering with accounting, delivery, technology, and product stakeholders.

Develop full-stack mission planning and command-and-control software for space communications programs. Build responsive interfaces with modern JavaScript frameworks, backend services and APIs using Python and SQL, and containerized applications. Own features through testing and deployment, write automated tests, collaborate with QA and cross-functional teams, and improve software usability, security, performance, and reliability in highly secure government environments.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Leads the technical evolution of Kilo Code, a high-scale VS Code AI coding extension. Responsibilities include setting architecture and performance strategy, building advanced AI-assisted coding features, driving cross-team technical roadmaps, mentoring engineers, owning production delivery, optimizing context and token usage, reducing technical debt, and partnering with Product and Design. The role requires hands-on software development, technical leadership, developer-tools expertise, TypeScript and Node.js proficiency, large-scale performance optimization, AI workflow experience, and Eastern Time Zone availability.

Lead frontend development across web and mobile experiences, architecting reusable components, design systems, responsive interfaces, and core user flows. Optimize performance, accessibility, rendering, and conversion while integrating REST and real-time APIs. Collaborate with backend, product, and design teams in two-week sprints, contributing to architecture, testing, monitoring, CI/CD, code reviews, and continuous delivery.

Lead the Data Platform team in building reliable, scalable infrastructure and developer tooling for data engineering, analytics, and data science. Define the technical roadmap with engineering leadership, guide architecture and best practices, contribute hands-on through design reviews and coding, and partner cross-functionally to shape platform capabilities. Hire, coach, and develop engineers while managing stakeholder communication and delivery of self-service, observable, and governed data systems.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.