Top Software Engineer Jobs in Boise, ID

As a Senior Software Engineer, you'll support projects from conception to completion, build and extend React applications, and contribute to Vetcove's platform development.

Design and build scalable systems for Upstart Bank, translating regulatory requirements into software, improving reliability, and ensuring audit-readiness while collaborating with multiple teams.

The Staff Software Engineer will lead technical projects for the Patient Matching team, focusing on scalable systems and API design. Responsibilities include system architecture, mentoring engineers, and collaborating with various stakeholders to enhance patient experiences in mental healthcare.

The Senior Software Engineer will design and build scalable backend services for loan origination, improving reliability and operational efficiency. Responsibilities include modernizing infrastructure, supporting partner onboarding, and collaborating across teams to enhance lending processes.

Lead design and evolution of data interfaces, mentor team, support integrations for live clients, and enhance data tools for scalability and efficiency.

The Software Development Engineer will support manufacturing operations through automation, analytics, and manufacturing systems, focusing on process improvements and operational efficiency within a Fab environment.

Seeking a Software Engineer with 3+ years experience in software development, programming (Go, Java, C++, C#), and strong analytical skills.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The role involves building core infrastructure for orchestrating intelligent agents, defining platform primitives, and ensuring systems scale and reliability. Collaboration with internal teams and end-to-end system ownership are essential.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

Sola seeks a Software Engineer for Desktop Automation to own and enhance their execution platform, focusing on reliability and integrating with AI pipelines.

As a Software Engineer, you'll design and develop microservices using a cloud-native tech stack, with a focus on financial services and secure systems.

As a Full-Stack Software Engineer, you'll build user-facing features, optimize GraphQL backend, and develop scalable systems, contributing significantly to the company's growth.

Design, build, and maintain full-stack web applications across frontend and backend. Own features end-to-end, write scalable Python services, optimize SQL and schemas, integrate APIs, profile and improve performance, and deliver cross-device user experiences with React/Typescript and CSS. Collaborate in agile teams and mentor junior engineers.

Develop and maintain scalable, performant web applications and data pipelines. Collaborate with engineering managers, product, and stakeholders using Agile practices. Emphasize observability, testing, CI/CD, security, and incremental releases to deliver robust production systems.

Design, build, and maintain advanced Android applications using Kotlin and Jetpack Compose. Collaborate on architecture and development strategy, implement dynamic UIs, ensure performance and quality through reviews and testing, and support full lifecycle delivery. Influence Android best practices and work with BLE, location, or IoT integrations when needed.

Build and maintain scalable, high-performance web applications and data-visualization platforms using React, Redux, Vite, and TypeScript. Collaborate with cross-functional teams to design features, write clean code and tests, debug, contribute to APIs, mentor junior engineers, and apply modern development practices including CI/CD and accessibility considerations.

Build and maintain full-stack features for Cengage Learning Platforms using Java/Spring backends and React frontends. Integrate AI/LLM services, design APIs, improve platform architecture, troubleshoot cross-stack issues, write testable code, and collaborate with product, UX, and QA on accessible, high-quality learning experiences.

As a Full-Stack Software Development Engineer, you will develop, maintain, and support applications, analyze issues, and collaborate with teams globally to implement solutions.

Design and develop end-to-end software solutions, manage cross-team dependencies, mentor developers, enforce coding standards, and collaborate with architects and stakeholders. Oversee integration, budgeting, and sustaining work. Implement ForgeRock identity solutions (SSO, federation, MFA, risk-based auth), build UIs with NodeJS/ReactJS, use REST/SOAP tooling, and deploy/debug AWS applications.

The Lead Software Engineer in Test will own test automation strategy, design automation frameworks, integrate testing into CI/CD, and mentor QA engineers to enhance quality across engineering processes.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

Build and maintain eBPF-based network monitoring instrumentation in the Datadog Agent, debug production incidents spanning kernel/eBPF/agent runtime, research and prototype solutions for high-throughput, low-latency network observability, and provide technical input to product and architecture decisions.

The Senior Staff Software Engineer will lead major projects, drive architectural innovation, interface with customers for solutions, and mentor engineers. Experience in software engineering and a strong grasp of AI, cloud scale, and evolving technologies is essential.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.