Top Senior Software Engineer Jobs in Boise, ID

Technical leader responsible for designing complex software modules and architecture, driving scalability, availability, and performance. Provide guidance to engineering teams, collaborate with product leaders and stakeholders, lead impact assessments and technology decisions, and implement solutions. Advocate reuse, coach agile practices, and ensure high-quality implementations across product versions.

Lead design and delivery of scalable, secure full-stack systems; mentor engineers; integrate AI-driven and agent-based workflows; ensure cloud-native, containerized deployments and secure SDLC practices.

As a Senior Software Engineer, you'll build high-performing, scalable applications for Joyride's auction platform, working on new features and existing code.

As a Senior Software Engineer at NexHealth, you'll build scalable back-end systems, maintain integrations with EHRs, and manage cross-functional engineering projects to support the company's growth.

Design, build, and maintain software systems for FuturHealth's platform, focusing on web and mobile applications while collaborating with cross-functional teams to enhance patient experiences.

Build and operate full-stack, production-ready systems: design and ship AI-native mortgage automation, integrate third-party lending APIs, and architect scalable AWS infrastructure and job processing. Mentor engineers and ensure security, observability, and high reliability.

As a Senior Software Engineer (Backend), you will design and implement scalable applications, collaborate with agile teams, and mentor junior members while ensuring high code quality and performance.

As a Senior Software Engineer, you will design and develop backend systems, optimize application performance, and mentor team members while building intuitive front-end features.

The Senior Software Engineer, Infrastructure will enhance Epic's platform reliability, manage GCP infrastructure, and improve CI/CD processes while ensuring observability and security best practices.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.

As a Sr. Software Engineer at VGS, you'll develop and maintain the Credential Management Platform and enhance the Event Pipeline, collaborating across teams to build high-throughput services.

Design and maintain real-time vehicle-tracking, map-matching, ETA prediction, and disruption-detection systems. Build and scale real-time data pipelines, cloud backend services, and APIs. Develop infrastructure for algorithm validation and shadow testing, collaborate across product and design to prototype and deliver end-to-end features, and apply modern engineering practices through code reviews, pairing, and documentation to ensure reliable production systems.

As a Staff Software Engineer, you will design and implement high-volume ETL pipelines, optimize streaming performance, and mentor the engineering team, ensuring robust data infrastructure.

Lead technical projects, collaborate with cross-functional teams, mentor junior engineers, and drive improvements in development practices in a cloud-based analytics platform.

Design, administer, and modernize SharePoint (on-prem and Online) and Azure-hosted collaboration platforms. Plan and execute SharePoint migrations, manage Azure infrastructure and VMs, configure Power Gateway, deploy and maintain Nintex K2 workflows, and administer F5 Silverline WAF. Troubleshoot production issues and support FISMA security assessment and authorization activities for federal initiatives.

Own server-side and infrastructure for Fool.com using Next.js and TypeScript. Build route handlers, server components, API integrations, caching (Redis/Cloudflare), AWS/Docker deployments, observability with DataDog, and end-to-end tests with Playwright. Optimize SEO crawler surface, sitemaps, canonicalization, and collaborate with front-end, content, and platform teams.

Design and develop high-performance services and APIs, focusing on cloud-based applications using Golang and Python, while ensuring code quality and security.

Lead design, development, and implementation of complex software systems for life & annuity policy administration. Provide technical leadership, mentor engineers, architect scalable mainframe solutions, troubleshoot critical issues, and collaborate with stakeholders to meet performance, reliability, and security goals.

Lead design and development of scalable, secure data pipelines and analytics for federal health IT. Build and optimize PySpark/Python batch processing, implement Airflow orchestration, develop serverless AWS components, produce BI dashboards, ensure code quality and test automation, translate federal requirements into software, and mentor team members.

Design, implement, and maintain cloud-native full-stack software to migrate, preserve, and make large volumes of government records searchable and accessible. Build Section 508-compliant frontends and secure backend APIs, follow API-first and CI/CD practices, defend against vulnerabilities, mentor engineers, and collaborate with cross-functional teams to deliver reliable, performant systems.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Build and maintain backend systems for a large-scale community platform: design APIs, improve performance and scalability, ship well-tested features, triage production issues, mentor engineers, and help define AI-assisted development practices and architecture.

Build and own mission-critical full‑stack features for a cannabis ERP and commerce platform. Work across product, design, and support to deliver high-quality code, tests, and AI-native workflows; define timelines, communicate progress, and ensure data integrity and compliance.

Lead technical initiatives to design and build scalable, high-performance batch and real-time data pipelines and microservices. Use Big Data tools (Spark, Kafka, EMR, S3) and AWS services to ingest, store, transform, and query large datasets. Maintain and optimize systems, perform code reviews, mentor engineers, implement security and data governance, and collaborate with product teams in an Agile environment to deliver reliable production software.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.