Top Software Engineer Jobs in Salt Lake City, UT

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.

Lead, coach, and mentor ServiceNow software engineers delivering complex customer projects. Develop and customize ServiceNow solutions, troubleshoot platform and module issues, maintain integrations, support upgrades and performance optimization, document technical solutions, and perform deployments. The role requires advanced ServiceNow development expertise and SAM/HAM experience, along with ServiceNow certifications.

Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis.

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.

Lead integration-domain architecture and delivery for an AI-driven cybersecurity platform. Design and operate production microservices integrating REST, GraphQL, streaming, MCP, and LLM-based services. Make system architecture and API decisions, mentor engineers, conduct design and code reviews, improve engineering rigor, and champion AI-assisted development, testing, deployment, monitoring, and incident response.

Develop and maintain features for a React Native VoIP mobile app, integrate native Android/iOS modules when needed, collaborate with backend engineers on APIs and real-time communications, optimize performance, debug production issues, and contribute technical insights to the product roadmap.

Build and ship full-stack features used by learners and tutors worldwide. Responsibilities include understanding user problems, contributing product ideas, taking prototypes through deployment, making technical decisions, writing maintainable code, and participating in code reviews and pairing sessions. The role requires close collaboration with designers, stakeholders, and users while supporting a safe, scalable peer-learning platform.

Own the technical strategy, architecture, and hands-on rebuild of Rezilient’s iOS and Android member mobile app. Lead decisions spanning native and cross-platform development, security and HIPAA-aligned PHI handling, health-data integrations, release engineering, performance, testing, and AI-enabled features. Partner with Product, Design, Clinical, and Engineering leaders to deliver a consumer-grade healthcare experience while mentoring mobile and front-end engineers and driving engagement, reliability, and scalable delivery.

Design, build, operate, and debug scalable Java platform services running on AWS. Develop authentication, data-store connectivity, and access-control systems for enterprise customers. Define non-functional requirements and SLOs, resolve production issues, collaborate on large-scale features, improve engineering processes, and promote platform and security best practices through mentorship and documentation.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.