Top Software Engineer Jobs in Salt Lake City, UT

Builds and maintains custom software applications using .NET, Java, and JavaScript technologies. Responsibilities include software design, coding, debugging, testing, troubleshooting, and developing web-based and client-server systems. The role handles complex technical projects autonomously, may provide technical consultation and team leadership, and requires strong collaboration and communication skills. Travel up to 15% is expected.

Design, implement, and optimize full-stack solutions. Collaborate with cross-functional teams, participate in code reviews, analyze and improve system performance, and stay current with industry technologies.

Builds and maintains custom software applications, performing design, coding, debugging, testing, troubleshooting, and technical consultation. Works autonomously on advanced projects, may lead work groups, and follows coding standards and technical designs. The role supports web-based and client-server systems and requires strong collaboration and communication. Up to 15% travel is expected.

Leads a forward-deployed engineering team delivering customer integrations, data migrations, technical implementations, and escalations. Owns customer relationships from kickoff through go-live, designs integrations with GIS, CMMS, and inspection platforms, builds ETL and validation tooling, and manages team capacity, development, and performance. Partners with Sales, Solutions Engineering, Product, and Engineering to improve technical feasibility, scope work, and turn recurring custom implementations into reusable products and processes.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Develop and lead frontend platform engineering for native and hybrid mobile applications. Build reusable, well-tested Android and iOS SDK components, contribute to architecture and system design, collaborate with product and engineering teams, own customer-facing deliverables, and identify product improvements while maintaining strong engineering standards.

Lead the architecture and development of Green Dot’s cloud-native Banking as a Service platform. Design scalable APIs, microservices, event-driven systems, and integrations; guide CI/CD, testing, observability, security, and compliance practices; lead incident response and architectural decisions; reduce technical debt; mentor engineers; and partner with product and engineering teams to deliver reliable banking and payment solutions.

Own end-to-end technical delivery for strategic enterprise customers by designing and building production AI applications, integrations, workflow automations, and enterprise system connections. Write production code, configure the platform, manage authentication and security constraints, lead testing and go-live hypercare, troubleshoot integrations, and serve as the senior technical client contact. Partner with Product, Engineering, Post-Sales, and clients while developing reusable integration patterns and delivery documentation.

Own the reliability of mobile marketing instrumentation and integrations across iOS and Android. Implement and debug attribution, analytics, engagement, and advertising SDKs; maintain event, identity, consent, deep-linking, and conversion flows; validate downstream delivery; automate testing and monitoring; and troubleshoot discrepancies across apps, data platforms, attribution providers, and ad platforms. Collaborate with Mobile Engineering, Data Engineering, Marketing, and vendors to deliver integrations end to end.