Top Software Engineer Jobs in Spokane, WA

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

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.

Develop robotics software for laboratory automation systems, focusing on precise motion control, liquid handling, sample transport, real-time perception, sensor fusion, computer vision, and calibration. Optimize embedded and real-time performance, conduct hardware-in-the-loop testing, and implement CI/CD validation. Collaborate with mechanical, electrical, firmware, and AI teams to deliver safe, reliable autonomous instrument behaviors from concept through verification.

Develop, test, and maintain enterprise software components across the full software development lifecycle. Build user interfaces, REST APIs, services, and data access logic using Microsoft technologies and modern UI frameworks. Write unit tests, participate in code reviews, debug defects, and collaborate with Product, QA, and senior engineers. Use AI-assisted development tools while validating output for correctness, security, and architectural alignment.

Develop backend services and APIs that streamline client activation and production onboarding. Build and enhance integrations with core provider APIs, checkbook ordering, ACH transfers, and product services. Collaborate with clients to understand account-opening nuances and partner with product teams to incorporate them into the platform. Write clean, documented, tested code; address error handling, logging, edge cases, system design, performance, and architectural tradeoffs. Provide technical guidance and code reviews.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

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.

Software engineering intern supporting the design, development, integration, and enhancement of complex software applications. The role involves contributing to team goals, creating innovative solutions, developing high-quality features, applying software development lifecycle and configuration management practices, and collaborating with engineers. Interns receive mentorship, hands-on experience, relocation benefits, and short-term housing when eligible.

Summer 2027 software engineering intern who will design, develop, integrate, and enhance complex software applications and product features. The intern will collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and contribute to customer-focused innovation. The role includes mentorship, professional development, relocation benefits, and short-term housing eligibility.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to customer products, create innovative solutions, apply software development lifecycle and configuration-management practices, and collaborate with engineers in a global organization. The internship includes hands-on technical experience, mentorship, professional development, and potential relocation benefits and short-term housing.

Develop, test, and maintain software components across the full software development lifecycle. Build user interfaces, REST APIs, services, and data-access logic using Microsoft technologies and modern UI frameworks. Write unit tests, participate in code reviews, debug defects, and collaborate with Product, QA, and engineering teams. Use AI-assisted development tools responsibly while following security, compliance, and software quality practices.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Build and maintain multi-layer test automation, improve CI/CD release integrity, and develop internal tools that enhance testability and developer experience. Establish quality metrics, dashboards, and observability for product stability and release readiness. Partner across engineering, infrastructure, product, SRE, and quality teams to implement shift-left practices, performance, resilience, security, API, and dependency testing. Drive automation-first quality improvements and promote consistent engineering standards.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Join Archy as a Senior Platform Software Engineer to enhance dental practice management through a scalable SaaS solution, focusing on cloud infrastructure, CI/CD pipelines, and AI integration.

Build AI-powered product quality infrastructure for capturing, synthesizing, routing, and acting on customer feedback. Develop bug intake and triage systems, dashboards, data pipelines, analytics tooling, and integrations with ticketing, payment, CRM, and data warehouse systems. Partner with support engineers and domain specialists to improve product quality and ship internal tools quickly.

Leads the Bioinformatics Software Engineering team and owns engineering strategy, architecture, delivery, modernization, and production support for clinical genomics platforms. Oversees software engineers, bioinformatics workflows, data integration, automation, quality systems, release governance, reliability, and regulatory compliance. Partners with clinical, laboratory, scientific, quality, product, operations, and executive stakeholders to convert research methods into validated production workflows. Guides AI-enabled engineering initiatives while ensuring privacy, traceability, clinical-grade quality, and operational resilience.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.