Top Remote Software Engineer Jobs in Portland, OR

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.

Define Scribd’s technical vision for agentic engineering and establish architecture, patterns, and guardrails for AI-assisted software development. Lead internal developer tools, libraries, platforms, and engineering workflow improvements across codebases, CI/CD, and infrastructure. Partner with engineering leadership on ambiguous cross-organizational initiatives, mentor senior and staff engineers, and drive adoption of coding-agent capabilities throughout the organization.

Designs, develops, deploys, and operates software supporting actuarial and financial analysis. Builds automated data solutions, calculation engines, reporting tools, and model integrations using Databricks and SQL. Partners with actuaries, finance, IT, and data teams across the software development lifecycle, supports production solutions, documents technical designs, mentors colleagues, and promotes AI-enabled development practices.

Build and scale web experiences for hunters using modern frontend technologies. Own technical solutions from ideation through delivery, collaborate across Product, Design, QA, and Engineering, run experiments, monitor production health, resolve incidents, write automated tests, and mentor teammates. The role emphasizes frontend quality, performance, scalability, reliability, customer experience, and thoughtful AI experimentation.

Lead a small engineering team while building production-grade frontend and backend systems. Design GraphQL and REST APIs, develop React and Node.js applications, support data ingestion and ETL workflows, and own cross-domain technical initiatives. Drive Agile execution, delivery tracking, architecture, testing, performance, and engineering quality. Mentor engineers, collaborate with Product stakeholders, and use AI-assisted development tools to improve delivery efficiency.

Design and build intelligent compiler systems, compiler-oriented agents, code transformation workflows, and numerical verification infrastructure. Develop systems for low-level IR reasoning, code generation, optimization, GPU performance, differential testing, regression detection, and correctness validation. Collaborate across compiler, CUDA, runtime, library, model, and hardware teams to integrate agentic and verification capabilities into production NVIDIA tools and products.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Own customer outcomes for Gasworks, an agentic platform. Deploy and operate the product in customers’ repositories, CI systems, clouds, and identity environments; debug distributed systems; write customer-driven fixes and integrations; and turn deployments into repeatable onboarding playbooks. The role combines software engineering, customer-facing implementation, product feedback, technical documentation, and daily use and verification of coding agents. Some customer travel is required.