Top Software Engineer Jobs in Salt Lake City, UT

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Build responsive Web3 applications, web SDKs, developer tools, reusable frontend components, and internal Customer Success tools. Collaborate with Product, Design, and Engineering to create scalable, accessible user experiences. Contribute to code and design reviews, automated testing, continuous delivery, coding standards, and AI-assisted development practices.

Lead and scale a commercial Solutions Engineering team for DX. Recruit, mentor, and coach SEs, drive pre-sales strategy and POC playbooks, partner with Sales/Product/Engineering, allocate resources across a high-velocity pipeline, and define KPIs to align technical efforts with revenue and commercial goals.

Design and build backend services for a digital asset custody platform, including secure transaction orchestration, wallet lifecycle management, integrations with custody providers and blockchain infrastructure, resilient APIs, high-availability systems, observability, and close collaboration with security and product teams.

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Lead the technical roadmap for partner integrations across APIs, SDKs, and web experiences. Design and build scalable products, standardize external partner integrations, and deliver payment and data-sharing capabilities. Collaborate with Engineering, Product, Design, Infrastructure, Sales, Partner, and Customer Success teams while remaining hands-on. Drive architecture, code quality, delivery, stakeholder alignment, and technical strategy for high-impact fintech products.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Design and implement backend services, modernize legacy systems into microservices, ensure strong testing and production observability, and collaborate with Product and Engineering teams. The role requires independent project ownership, strong system design, AI-assisted development using tools such as Claude or Cursor, effective communication with nontechnical stakeholders, and adaptability in an ambiguous, fast-changing environment.

Develop and scale NinjaOne’s ticketing and billing products using Java and Kotlin. Design reliable enterprise software, REST services, relational data systems, caching solutions, and client-server applications. Address scalability, asynchronous design, API development, testing, and integrations with accounting platforms such as QuickBooks and Xero. Contribute hands-on code, apply object-oriented design principles, and help ship software serving millions of endpoints.

Develop and deploy customer-focused web, mobile, and backend applications across the full software stack. Design major features, contribute to architecture decisions, conduct code reviews, and ensure secure, high-quality implementations. Collaborate with stakeholders and cross-functional teams using Agile and SDLC practices. Manage version control, CI/CD, environments, and releases; maintain automated test coverage and perform root-cause analysis. Build and optimize relational data solutions using SQL Server, including complex queries, stored procedures, and performance tuning.