Top Software Engineer Jobs in Salt Lake City, UT

Develop and maintain internal full-stack applications using C#/Blazor or Python. Build CI/CD pipelines and infrastructure automation with GitLab, Azure DevOps, GitHub, Artifactory, and SonarQube. Partner with cross-functional teams to improve software delivery, code quality, security, compliance, and operational visibility. Implement scalable enterprise solutions, infrastructure as code, secure development practices, and DevSecOps workflows.

Develop and maintain backend services for OppFi’s financial technology platform. Responsibilities include building Java applications and services, collaborating in an Agile environment, conducting code reviews and testing, documenting best practices, and refining technical requirements into production-ready solutions. The role uses AWS, Docker, PostgreSQL, APIs, and related cloud-native technologies.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Lead the architecture, development, customization, and integration of NetSuite finance systems supporting accounting, Order-to-Cash, and Record-to-Report processes. Partner with Finance, Accounting, Tax, Treasury, Audit, and Data Engineering teams to implement controls, improve close processes, enhance reporting, ensure SOX and GAAP compliance, and manage integrations. Establish NetSuite engineering standards, mentor engineers, oversee data governance, and provide technical leadership for scalable finance technology solutions.

Lead the architecture and delivery of GitLab’s data products, including near-real-time data ingestion, knowledge graph integrations, data marketplaces, observability, and data-sharing APIs. Translate ambiguous 0-to-1 initiatives into roadmaps, resolve cross-team dependencies, ensure operational readiness across deployment surfaces, and mentor engineers. The role requires deep full-stack expertise, technical leadership, and experience with AI-powered orchestration and multi-tenant SaaS systems.

Leads architecture and development of SailPoint’s large-scale, multi-tenant identity security SaaS platform. Translates business strategy into technical roadmaps, designs reliable microservices and infrastructure, drives modernization from monoliths to distributed systems, mentors engineers, reviews designs, delivers code, and communicates technology strategy to executives and stakeholders. The role also requires adoption and oversight of AI-assisted engineering tools and technologies.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Build, optimize, and maintain software systems using AI while collaborating across disciplines on healthcare technology. Develop distributed, event-driven systems, learn new languages and frameworks, and protect user privacy through data security and HIPAA-compliant practices. The role works with AWS, Kubernetes, and large-scale medical datasets in a fast-paced, mission-driven environment.