Top Software Engineer Jobs in Salt Lake City, UT

Lead full‑stack engineering work to design, build, and maintain core product features (React/Next.js, Node.js, Firebase, GCP). Drive architecture, deployment, testing, performance, and developer experience. Mentor engineers, conduct code reviews, collaborate with CTO and product, support customers, and help scale the product and engineering culture.

Leads engineering and QA teams developing and modernizing software for K-12 nutrition programs. Partners with Product on agile planning, staffing, delivery, quality, incident response, and process improvement. Recruits, coaches, and develops team members while managing performance, career growth, and team well-being. The role requires overseeing legacy ASP.NET systems and migration to modern .NET, Angular, AWS, PostgreSQL, and CI/CD technologies.

Build and own OpenRouter’s financial infrastructure, including flexible pricing, quote-to-cash automation, usage metering, billing, payments, collections, double-entry ledgering, provider settlements, and reconciliation. Ensure financial correctness through idempotency, auditability, anomaly detection, and access controls. Partner with Provider, Trust & Safety, Sales, Customer Success, and Finance teams to deliver scalable usage-based financial systems.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Leads distributed engineering teams developing and operating the Sensei Cloud SaaS platform. Responsibilities include people management, hiring, delivery predictability, platform quality and reliability, automated testing, incident response, technical design reviews, AI-assisted engineering adoption, security guardrails, and collaboration with Product, architects, executives, and partner teams across multiple regions.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Build production-grade AI agents, integrations, data pipelines, and infrastructure directly within strategic customers’ environments. Own technical delivery from design through deployment, documentation, training, and handoff. Collaborate closely with customer engineering teams, work effectively in unfamiliar codebases, and provide technical feedback to Redpanda Product and Engineering. The role requires customer-facing communication, production software expertise, and travel of 30–50% during active engagements.

Build and operate backend features for payments, fraud detection, compliance, and user management. Design microservices, integrate with banks and card networks, improve performance and reliability, and contribute to architecture decisions. The role requires independent end-to-end delivery, collaboration with product and compliance teams, and development using Python, Flask, SQL/NoSQL databases, and cloud infrastructure.

Provides hands-on technical leadership across the full stack, designing customer-facing experiences, APIs, services, data flows, and cloud systems. Leads complex cross-functional initiatives, shapes platform architecture, improves engineering standards, performance, reliability, observability, and security, and mentors engineers. Partners with Product, Design, Data Science, and SRE while driving responsible AI adoption and scalable solutions in a distributed global environment.