Top Remote Software Engineer Jobs in Portland, OR

Build and operate accessible, high-performance member-facing web applications using a front-end-first full-stack approach. Contribute to APIs, backend services, data flows, integrations, frontend architecture, testing, observability, and performance improvements. Own projects from concept through production, collaborate with Product, Design, Data, and Clinical teams, improve developer experience, support AI-assisted coding practices, participate in technical reviews and incident follow-up, and mentor engineers.

Lead customers in observability strategy, telemetry schema design, sampling, instrumentation, and SRE practices. Build and ship production instrumentation, SLOs, and dashboards; mentor engineering teams; troubleshoot technical and sociotechnical issues; create enablement content; and represent customer insights internally. The role combines long-term technical advisory work with hands-on delivery across cloud platforms, infrastructure, CI/CD, and distributed systems.

Serve as the senior software development SME while performing full-stack Java web development and O&M activities. Guide developer teams, prioritize work, coordinate technical meetings, resolve issues, optimize processes, analyze requirements, estimate effort, review code, conduct testing, troubleshoot environments, create technical documentation, and implement software updates. The role requires extensive J2EE experience, SPA development, DevOps and CI/CD expertise, and active Public Trust/MBI clearance supporting an IRS Criminal Investigation system.

Develop and own full-stack web features from design through deployment, monitoring, and optimization. Build APIs, backend services, responsive user experiences, SQL queries, and relational database schemas. Modernize legacy systems, troubleshoot performance issues, participate in code reviews, and collaborate with product and design teams in an agile continuous-delivery environment. The role emphasizes secure, maintainable, scalable code, technical ownership, and thoughtful use of AI-assisted development tools.

Investigate and resolve data-quality issues in large-scale distributed systems. Design Java-based repair pipelines and idempotent correction jobs for high-volume datasets, debug existing code, use AWS services for queue-driven and batch workflows, optimize performance and concurrency, and communicate technical findings and risks to stakeholders.

Lead Docker’s Secure Build and SCS Services teams, owning delivery, team health, technical direction, operational excellence, hiring, and engineer development. Shape portfolio priorities across secure build, Docker Scout, and Docker Hardened Images while balancing roadmap work, reliability, on-call, and stakeholder commitments. Partner with Product and cross-functional teams, guide distributed-systems and infrastructure decisions, oversee incidents and production operations, and establish clear ownership across team interfaces. The role requires strong backend engineering judgment, software supply-chain security understanding, and leadership across remote European and US teams.

Design, develop, and implement enterprise AEM applications using Java, HTL, Sling Models, OSGi, and related technologies. Build multilingual, multisite, and multichannel publishing solutions; configure AEM Cloud Service, Dispatcher, and deployment pipelines; integrate CRM, analytics, and headless APIs; optimize performance and security; conduct code reviews; mentor developers; and participate in Agile delivery. The role also involves modernization, testing, CI/CD, and applying AI coding assistants to improve software development productivity.

Design and scale backend systems, APIs, and services for Nango’s open-source developer infrastructure platform. Build APIs, SDKs, UIs, and runtime systems, optimize performance and reliability, solve integration challenges with customers, shape the roadmap, and maintain the open-source repository. The role requires strong ownership, product thinking, developer empathy, communication, and autonomy in a remote-first startup environment.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to products, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and collaborate with global teams while receiving mentorship and hands-on experience.