Top Software Engineer Jobs in Boise, ID

Staff Software Engineer responsible for designing scalable distributed systems and full-stack web applications supporting provider acquisition, onboarding, and marketplace supply growth. The role leads cross-team technical initiatives, shapes engineering strategy, mentors developers, and delivers provider-facing products from discovery through post-launch support. Experience with AI-assisted development workflows and technologies such as Node.js, React, TypeScript, Kafka, AWS, Docker, and Kubernetes is valued.

Designs, develops, tests, documents, implements, and maintains software applications. The role analyzes business requirements, codes efficient solutions, creates user interfaces, automates tasks, performs debugging and quality assurance, resolves production issues, and collaborates with internal teams and vendors. It also participates in code reviews, supports software lifecycle activities, maintains current technologies, and joins an on-call production support rotation.

Develop scalable Java-based software and distributed systems for BILL’s Growth team. Improve subscription, monetization, pricing, packaging, and customer upgrade or downgrade experiences. Build AWS-based SaaS applications, design SQL and NoSQL databases, implement CI/CD pipelines, and apply generative AI to software engineering. Collaborate with product managers and cross-functional engineering teams to drive user growth, revenue, and feature engagement.

Build and maintain scalable full-stack web applications using PHP, Laravel, React, Next.js, SQL, and related technologies. Own features from design through deployment and monitoring, develop APIs, optimize databases and legacy systems, troubleshoot performance issues, and contribute to code quality, security, and engineering practices. Collaborate cross-functionally in an agile, continuous-deployment environment while using AI-assisted tools responsibly.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build and maintain Go-based API endpoints, middleware, gateway services, and platform capabilities. Design API contracts using OpenAPI and gRPC, support authentication, rate limiting, reliability monitoring, alerting, and incident response. Write tested, maintainable code and collaborate with platform teams consuming the APIs. Work in Kubernetes and Docker-based environments while contributing to API consolidation, versioning, observability, and service mesh capabilities.

Leads architecture and development of SailPoint’s large-scale, multi-tenant identity security SaaS platform. Translates business strategy into technical roadmaps, designs reliable microservices and infrastructure, drives modernization from monoliths to distributed systems, mentors engineers, reviews designs, delivers code, and communicates technology strategy to executives and stakeholders. The role also requires adoption and oversight of AI-assisted engineering tools and technologies.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Design and implement cloud-native software and managed services on Kubernetes. Own technical and product innovation, analyze systems, recommend solutions, and enable customers to deploy and integrate cloud-native services. Collaborate with engineering teams in an Agile environment throughout the product lifecycle, including building, testing, deployment, and iteration.

Own post-launch bugs, production issues, and enhancements for AI agents and related products. Investigate root causes across logs, code, conversation data, APIs, authentication, telephony, and integrations; implement and test fixes; support customers directly; guide frontline Support Engineers; and build internal tools that improve investigation and resolution speed.

Lead end-to-end development of modern frontend initiatives using React and Electron. Design scalable architecture, improve performance and test coverage, resolve production issues, influence technical decisions, and collaborate with Product, Design, and Backend teams. The role includes mentoring engineers, maintaining code quality, supporting observability and incident response, and building secure, high-quality customer-facing payment and form workflows.

Own production bugs, escalations, and enhancements for AI agent products. Investigate issues across logs, code, conversation data, telephony, integrations, authentication, APIs, and LLM prompting; implement, test, and ship fixes. Support customers directly, coordinate testing, guide frontline support engineers, build internal investigation tools, and relay feedback to Product while meeting SLAs.

Own and develop a TypeScript monorepo spanning Next.js, Expo, and Cloudflare Worker applications. Build PostgreSQL and Prisma data models, webhook and background job systems, secure financial-data and authentication flows, and AI features using LLM tool-calling. Handle production ownership, on-call responsibilities, incident analysis, code review, and reliability improvements. Collaborate remotely with strong written and verbal English while maintaining security, performance, and data integrity.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Build and scale high-throughput streaming infrastructure that ingests, forwards, and computes on billions of behavioral events in real time. Own projects end to end, solve customer scaling challenges, and influence the technical roadmap. The role focuses on distributed systems capable of processing millions of messages per second with very low latency, supporting real-time personalization and AI-driven marketing products.

Build enterprise control-plane products for managing Hightouch deployments at scale. Responsibilities include developing roles, permissions, and access control; creating change-management tools for evolving data models and warehouses; and helping customers understand and optimize warehouse performance and costs. The role requires backend and distributed-systems architecture, asynchronous workflows, scalability, reliability, product thinking, and engagement with product specifications.

Design, build, and optimize distributed systems powering large-scale data synchronization. Responsibilities include improving sync speed, developing real-time streaming capabilities, scaling high-volume and low-latency systems, troubleshooting customer scaling challenges, and supporting multi-region, multi-cloud infrastructure and data residency requirements. The role involves end-to-end project ownership, customer collaboration, system architecture, and reliability improvements.

Develop backend systems for Hightouch’s Customer Studio product, focusing on data warehouse performance, analytics and experimentation, real-time audience syncing, and generative AI workflows. Design scalable, maintainable, and reliable distributed systems while contributing to product specifications and customer-focused solutions. The role requires strong product sense and the ability to architect data-processing features end to end.

Design and evolve scalable referral, partner data, and patient booking systems. Lead complex technical projects across teams, make architecture and API decisions, improve security, performance, reliability, and scalability, and mentor engineers. Collaborate with product, design, engineering leadership, partners, and stakeholders while using AI-assisted development tools such as Claude Code to improve delivery velocity and quality.

Build and maintain backend services, APIs, workers, shared libraries, and cloud-native runtime infrastructure for Alteryx Cloud orchestration and job execution. Develop asynchronous, event-driven, distributed systems with queues, persistence, retries, and failure recovery. Improve reliability through observability, testing, deployment tooling, and incident follow-up while collaborating across engineering and product teams.

Own and develop a TypeScript monorepo spanning Next.js, Expo, and Cloudflare Worker applications. Build secure PostgreSQL and Prisma systems, webhook handlers, background jobs, authentication, encrypted financial data workflows, and AI-powered financial features. Responsibilities include production ownership, incident response, code review, and ensuring reliability, security, idempotency, and data isolation across web and mobile products.

Design and build Seeq’s internal platform, including infrastructure, services, multi-tenant Kubernetes clusters, system interfaces, and secure deployment capabilities. Improve scalability, reliability, software delivery, and infrastructure cost and performance. Lead migrations, integrate security practices, architect distributed systems, collaborate cross-functionally, and mentor engineers while remaining hands-on at Staff or Principal scope.

Develops, tests, deploys, and supports major software features and services. The role translates product requirements into maintainable technical solutions, makes design and performance trade-offs, performs root-cause analysis, conducts code reviews, improves development and deployment practices, and mentors newer engineers. The position requires collaboration across engineering and product teams and includes working with Java, SQL, XML, web technologies, JavaScript, and Oracle databases.