Top Remote Software Engineer Jobs in Portland, OR

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Lead the technical design, development, governance, and delivery of SAP EWM warehouse automation solutions. Own ASRS integration with automation vendors, including interface design, message mapping, error handling, inventory, replenishment, and pallet movement processes. Coordinate SAP teams, implementation partners, vendors, and PMO stakeholders while managing the development backlog, quality standards, testing, deployment, cutover, go-live, and hypercare for a large-scale SAP S/4HANA transformation.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead end-to-end technical deployments for enterprise and cleared customers. Build production frontend and backend systems, reusable deployment capabilities, integrations, testing, observability, and human-review workflows. Partner with customer security and infrastructure teams on restricted environments, deployment readiness, release procedures, and operational handoff. Coach teammates, capture reusable practices, troubleshoot with limited tooling, and translate customer insights into product feedback. The role requires an active U.S. government clearance and up to 50% travel.

Develop and support enterprise application integrations, SQL Server databases, SSIS ETL processes, Power BI reports, REST APIs, and data migration solutions. Troubleshoot production integration, reporting, and data-quality issues; collaborate with stakeholders on technical requirements; and support documentation, deployment, and release activities. The role is remote and requires strong SQL, systems integration, business intelligence, and data-integration experience.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Develop and maintain responsive frontend interfaces, dashboards, reports, and enterprise web applications. Translate requirements into functional user interfaces, build UI and automated tests, troubleshoot and optimize performance, implement REST API integrations and routing, and collaborate with backend developers and testers. The role requires React, JavaScript, Redux, Node.js, and related frontend technologies, with preferred experience in dashboards, reporting, testing, AWS, and government applications.

Own the design and evolution of edge data collection and integration for data centers. Lead protocol adapters, secure connectivity, point mapping, normalization, telemetry health monitoring, and automated site onboarding. Partner with architecture, product, and platform teams while managing a growing integrations team. The role requires extensive industrial IoT or operational technology experience, fleet-scale collector software, Python automation, streaming pipelines, containerized edge deployments, and data-center systems knowledge.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.