Top Software Engineer Jobs in Boise, ID

Design, build, test, and maintain scalable software systems. Collaborate with cross-functional teams, participate in code reviews, write tests and documentation, troubleshoot production issues, and contribute to product and architecture decisions.

Design, build, test, and document client-side networking software for Tailscale's dataplane. Improve connectivity between clients, subnet routers, and exit nodes, optimize performance and reliability, resolve complex customer network escalations, collaborate with product and engineering, and engage with the open-source community.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Lead architecture and technical direction for Ocient's Loading and Transformation platforms, designing scalable batch and stream ingestion systems. Own ambiguous, cross-team initiatives end-to-end, mentor engineers, and implement high-performance distributed software using modern C++ and/or Java. Partner with product, sales, and customers to translate needs into reliable, petabyte-scale solutions.

Lead design, build, deploy, and maintain PKI and key management API services for vehicle ecosystems. Own end-to-end lifecycle including HSM integration, certificate issuance/rotation/revocation, secure REST APIs, cloud/on-prem Kubernetes deployment, monitoring, and compliance. Mentor engineers, drive architecture, work with customers and embedded teams, and author security requirements and documentation.

Lead engineering of core scheduling and orchestration subsystems for an orbital edge compute platform. Own an MVP for autonomous scheduling across compute node fleets, scale to larger satellite fleets with data sovereignty, design performant and reliable distributed engines, build scheduling and workload-placement logic for intermittent-connectivity edge environments, and provide technical leadership while partnering with cross-functional teams to deliver secure, customer-focused solutions.

Lead a small engineering team to design, build, and deliver full-stack features using React, TypeScript, Python (Django), Node.js, and PostgreSQL. Own technical delivery from design through deployment, driving testing, CI/CD, containerized deployments (Kubernetes), event-driven architectures (Kafka), performance, reliability, and mentoring across the team while partnering with Product and Design.

Build and operate backend systems and APIs (Go, REST/gRPC) for entitlements, policies, and customer onboarding. Lead cross-team integrations, extend AI features into customer experiences, own features end-to-end, mentor engineers, and drive a product-focused roadmap with iterative delivery.

Lead design, build, and launch a React Native companion app and ship full-stack features across a unified TypeScript stack. Own architecture, app-store release, accessibility (WCAG 2.1 AA), observability, incident handling, code reviews, mentoring, and improvements to CI/CD and testing.

Senior mainframe engineer delivering secure, resilient enterprise application solutions across the full lifecycle: analysis, design, implementation, testing, CI/CD, and production support. Tasks include COBOL/CICS/JCL development, DB2 data work, batch and online processing troubleshooting, SDLC and DevOps practices, modernization and integration (APIs, MQ, z/OS Connect), mentoring junior engineers, and ensuring release readiness, performance, and operational stability.

Design, build, and own scalable multi-tenant SaaS applications across frontend, backend, and data layers. Improve system architecture, performance, reliability, and testing practices. Integrate AI-assisted tools, mentor engineers, conduct code reviews, and collaborate with Product and Design to deliver intuitive, production-grade software.

Build and maintain full-stack features, data pipelines, and cloud infrastructure for large-scale ad management and analytics. Integrate with advertising platform APIs, apply ML/NLP for forecasting and recommendations, collaborate with product and marketing teams, and use AI coding tools to accelerate development.

Design, build, and maintain scalable backend services and APIs for millions of users. Collaborate with product and UX, implement automated testing, participate in on-call incident management, and mentor teammates while delivering complex distributed-system projects.

Own and evolve the AWS and Kubernetes platform, build Terraform modules, Helm charts, and GitHub Actions workflows, enhance platform capabilities with Go/Python, implement monitoring and runbooks, ensure secure CI/CD and data segregation, and support Node.js/React/Next.js engineering teams.

Lead hands-on design, development, testing, deployment, and support of firm-wide Revit automation and engineering tools. Own the automation roadmap, build integrations with Autodesk products and data sources, establish development standards, monitor adoption and reliability, and provide technical mentorship and code review to other developers.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Maintain and extend long-term supported forks of major JavaScript frameworks. Develop and secure code in JavaScript/TypeScript, backport fixes, triage and patch CVEs, build CI/CD and automation, collaborate with security and OSS contributors, and drive platform reliability and architecture decisions.

Own and evolve Roo's frontend platform and design system, building tooling, developer workflows, AI-assisted integrations, and migration paths to modern libraries (web and mobile). Partner with Product and Design, improve developer experience, and remove friction so teams can ship high-quality, consistent features rapidly.

Design, build, and scale GraphQL APIs, low-latency gRPC services, and SQL-backed wagering flows for online casino products. Own complex technical problems end-to-end, improve production performance and observability (DataDog), mentor engineers, and deliver integrations with game providers while operating services on Kubernetes and participating in on-call rotations.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Lead architecture and development of high-scale systems for ingesting, processing, storing, and serving user profiles. Drive cross-team initiatives across APIs, streaming infrastructure, and data processing. Improve scalability, reliability, data quality, observability, and performance while mentoring engineers and partnering with product, data, and ML teams to enable segmentation, personalization, and ML use cases.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.