Top Remote Software Engineer Jobs in Portland, OR

Design and oversee full-lifecycle software development using AI-assisted engineering practices. Define system architecture, APIs, data models, testing strategies, security, reliability, and observability. Direct AI-generated implementation, validate code and tests, manage deployments and incidents, and coach engineers on effective agentic development. Build and operate scalable cloud systems, event-driven services, and customer-facing applications while collaborating with Product and Design.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Designs, develops, maintains, troubleshoots, and enhances enterprise mainframe applications using COBOL, CICS, JCL, DB2, and VSAM. The role includes performance tuning, database optimization, incident and change request management, technical documentation, requirements analysis, and implementation planning. Acts as a technical lead, supports critical applications, works across Agile and waterfall methodologies, and guides junior team members.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Leads the full lifecycle development of satellite and aerospace software systems, including requirements definition, systems architecture, trade studies, verification, validation, testing, anomaly resolution, integration, deployment, and operations. Supports spacecraft product roadmaps, customization, cost optimization, and heritage-platform reuse. The role also leads multidisciplinary teams and performs specialized systems analyses across safety, reliability, security, certification, and related engineering disciplines.

Designs and builds scalable backend services for transaction matching, offer ingestion, rewards pipelines, APIs, and partner integrations. Owns features through discovery, implementation, testing, rollout, and documentation. Participates in on-call and incident response, improves reliability and observability, mentors engineers, contributes to architecture, and leads cross-functional technical initiatives. The role uses Go, TypeScript, Postgres, MongoDB, AWS, Terraform, Kubernetes, event-driven systems, and AI-assisted development tools.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Develops and maintains COBOL, IDMS, and ADSO applications on IBM mainframes supporting the Defense Civilian Payroll System. Coordinates software development across functional teams, manages project plans, resources, schedules, risks, quality, and communication, and contributes to technology strategy and software requirements, design, and implementation.

Develops, tests, maintains, and enhances software applications throughout the production lifecycle. Responsibilities include coding, performance testing, debugging, documentation, project planning, code reviews, mentoring, end-user training, and researching development technologies. The role supports cloud-native, API-first, microservice, CI/CD, and DevOps practices while collaborating with IT teams and business stakeholders.

Design, build, and operate backend product capabilities for hospitality workflows using PHP, Java, APIs, data models, and event-driven systems. Own technical design through production, including infrastructure, deployment, observability, testing, incident response, and on-call support. Improve distributed-system scalability, reliability, security, and maintainability while collaborating with Product, Design, Infrastructure, Security, and Engineering teams. Mentor peers and contribute to architecture, code reviews, and pragmatic product delivery.

Design, build, and operate backend product capabilities and distributed systems using PHP and Java. Develop APIs, data models, integrations, asynchronous workflows, and event-driven services with PostgreSQL, Kafka, REST, and gRPC. Own technical design through production, including infrastructure, deployments, observability, testing, incident response, and on-call support. Collaborate cross-functionally, make architectural decisions, mentor engineers, and use AI coding agents to deliver reliable customer-facing solutions.

Lead testing for complex Salesforce and enterprise integrations: design and execute end-to-end and integration tests, manage defect lifecycle, define quality gates, assess release readiness, analyze quality metrics, drive test process improvements, mentor junior QA engineers, and collaborate with cross-functional teams to ensure release quality.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

Develops and maintains backend and cloud-native supply chain software supporting warehouse, transportation, fulfillment, inventory movement, and order workflows. Designs APIs, event-driven services, integrations, databases, and distributed systems; diagnoses defects, improves performance and security, and contributes to roadmaps. Coordinates team work, supports requirements analysis, mentors junior teammates, and helps deliver reliable solutions using Azure, Kubernetes, CI/CD, and observability tools.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Build and maintain Mozilla’s Internal Developer Infrastructure Platform, including CI/CD, observability, Kubernetes optimization, environment bootstrapping, and cloud cost optimization. Support development teams, guide technical decisions, create platform features and agentic workflows, improve developer productivity, and promote maintainable engineering practices. The role also requires cross-functional collaboration, technical leadership, proposal writing, and resolving ambiguous infrastructure challenges.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

Designs and implements scalable software architecture and web-based systems using Java EE and related technologies. Responsibilities include developing front-end and backend functionality, evaluating tools and designs, troubleshooting, conducting root-cause analysis, collaborating with QA and project teams, participating in code reviews, documenting solutions, mentoring engineers, and serving as a technical lead across multiple projects.