Top Senior Level Software Engineer Jobs in Salt Lake City, UT

As a Senior Fullstack Engineer, you'll build financial systems, design lending infrastructure, implement payment integrations, and create user interfaces, ensuring correctness and reliability.

Founding Growth Engineer to own and build a repeatable growth engine: rebuild and instrument the submission funnel, run A/B experiments, scale acquisition channels, fix attribution and analytics, build lifecycle messaging (push, email, SMS) infrastructure, and balance marketplace supply and demand while partnering with founder and marketing.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

Lead technical design, configuration, integration, and support of the Oracle HCM platform. Build and maintain integrations, manage security and data migration, oversee releases and testing, troubleshoot system issues, create technical documentation, and mentor team members to ensure reliable, scalable HCM solutions.

As a Senior Software Engineer at MNTN, you'll design and operate backend systems for ad delivery, ensuring high performance and reliability. You'll work with Java, Kotlin, and Scala to handle high-throughput services and contribute to architectural decisions while improving system efficiency.

Oversee engineering teams driving modernization in healthcare technology through agile practices, AI-assisted engineering, and strong architectural guidance, ensuring quality and compliance.

The Senior Software Engineer role involves modernizing healthcare payment systems using C#, .NET, SQL, and cloud technologies while leveraging AI tools for efficiency.

This role involves designing and developing scalable web applications, leading projects, mentoring engineers, and ensuring quality through best practices and collaboration.

Design, develop, and deploy Oracle integrations (OIC) between Oracle Cloud HCM/ERP, JD Edwards, EBS and legacy systems. Lead technical delivery including code reviews, unit testing, integration strategy, client collaboration, knowledge transfer, documentation, and ensuring quality of development deliverables.

Design, build, and operate highly scalable cloud-native microservices and web applications. Own features from design through production, improve observability, CI/CD, and cloud infrastructure, mentor teammates, collaborate across teams, and leverage AI developer tools to automate and accelerate engineering workflows.

Leads an engineering team delivering secure, scalable, reliable technology solutions. Oversees planning through release, staffing, performance management, technical decision-making, risk resolution, stakeholder alignment, and delivery health. Partners with Product, Architecture, Security, Platform, QA, vendors, and business teams. Promotes cloud-native development, CI/CD, automation, testing, observability, maintainability, secure practices, and continuous improvement while fostering accountability, collaboration, communication, and team growth.

Leads engineering teams delivering secure, scalable, reliable services, integrations, cloud-native applications, and enterprise technology capabilities. Defines roadmaps, standards, governance, KPIs, and operating models; develops talent; guides complex technical decisions; drives modernization, automation, AI adoption, reliability, and technical debt reduction. Partners with product, architecture, security, infrastructure, vendors, and executives while managing delivery, budgets, resources, risks, and organizational performance.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

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.