Top Senior Software Engineer Jobs in Salt Lake City, UT

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Build zero-to-one products from prototype through production, working through ambiguity and partnering closely with product, design, and customers. Develop scalable systems, run experiments and technical spikes, influence product direction, and uphold reliability, performance, engineering standards, and customer experience. Mentor engineers and contribute to architecture, coding practices, and cross-functional collaboration.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Leads the design, development, deployment, maintenance, and optimization of scalable full-stack software systems. Responsibilities include coding, debugging, code reviews, API development, cloud-native deployment, testing, monitoring, performance optimization, production support, incident response, technical mentoring, and establishing development standards. The role collaborates cross-functionally, drives API-first and AI-enabled engineering practices, and participates in on-call support.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Lead testing for complex Salesforce and enterprise integrations: design and execute end-to-end and integration tests, manage defect lifecycle, define quality gates, assess release readiness, analyze quality metrics, drive test process improvements, mentor junior QA engineers, and collaborate with cross-functional teams to ensure release quality.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

Develops and maintains backend and cloud-native supply chain software supporting warehouse, transportation, fulfillment, inventory movement, and order workflows. Designs APIs, event-driven services, integrations, databases, and distributed systems; diagnoses defects, improves performance and security, and contributes to roadmaps. Coordinates team work, supports requirements analysis, mentors junior teammates, and helps deliver reliable solutions using Azure, Kubernetes, CI/CD, and observability tools.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.