Top Software Engineer Jobs in Boise, ID

Design, build, and maintain scalable full‑stack web applications using Python (FastAPI/Django/Flask) and Node.js frameworks (Next.js, Nest.js). Build React front ends, architect RESTful APIs, work with SQL/NoSQL databases, implement testing and security best practices, leverage AWS cloud services and AI-assisted development tools, collaborate with product and design, perform code reviews, and mentor junior engineers.

Design, build, and maintain Elixir and React features for PDQ Connect; ship frequently in CI/CD; troubleshoot incidents and support cases; prototype and influence technical decisions; participate in code reviews and mentor teammates.

The Senior Software Engineer will design and maintain internal systems and automations for sales and marketing, focusing on integrations with CRMs and data management.

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Nango is hiring Senior and Staff Backend Engineers to design, build, and optimize backend systems and APIs, collaborating with customers and driving product strategy.

The Solutions Engineer will lead technical evaluations, deliver demos, build customer relationships, and translate requirements into solutions for AI infrastructure.

The Technical Solutions Engineer collaborates with the Sales team, leveraging construction scheduling expertise to assist customers in integrating Planera's solutions into their workflow, conducting demos, and leading technical discussions throughout the sales process.

As a Backend Engineer, you will own end-to-end backend systems, build reliable APIs on Node and AWS, and implement scalable architectures. You will be responsible for high-quality production code delivery, establish best practices, and interface with product teams to enhance financial product performance.

Design, build, and deliver scalable big data ETL solutions across distributed environments using Spark (PySpark/Scala), Hadoop ecosystem, Databricks, and Azure. Develop and automate ETL workflows, tune Spark jobs, integrate multiple data sources, create tests and technical designs, collaborate with Data Science, QA, and Ops, and troubleshoot data delivery issues under agile processes.

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.