Top Software Engineer Jobs in Provo, UT

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Develop and operate IAM services powering Elastic Cloud and on-premises offerings. Responsibilities include backend software development, technical design, production debugging, incident response, customer issue resolution, security and reliability improvements, and on-call participation. The role involves distributed systems, containers, virtualization, microservices, cloud platforms, Kubernetes adoption, and collaboration across globally distributed engineering teams.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Lead engineering for Fetch’s audience products, building scalable lifecycle services, predictive and lookalike model workflows, identity matching, partner and DSP activation, monitoring, governance, and access controls. Set technical direction, make architectural decisions, guide engineers, and partner with Data Science, Product, and Data Platform to move audience models from prototypes into reliable production systems.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Build and ship full-stack features for AHEAD’s Hatch and Unity platforms, owning work from user needs through design, implementation, testing, deployment, and support. Make architectural decisions, use AI development tools responsibly, lead code reviews, mentor engineers, collaborate with stakeholders, estimate work, manage technical risk, and help shape the engineering roadmap. The role uses Elixir and Phoenix while emphasizing adaptability, product thinking, software quality, security, and reliable delivery.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and maintain scalable full-stack web application features and distributed microservices. Own complex features from design through deployment, improve application performance and reliability, support on-call operations, troubleshoot incidents, enhance CI/CD and container infrastructure, and collaborate with product, design, infrastructure, and API teams. Mentor engineers and contribute to technical standards while delivering customer-focused shipping and fulfillment experiences.

Build and lead development of real-time, cloud-native integration pipelines and Java/Spring Boot microservices on GCP. Design event-driven streaming with Pub/Sub, Kafka, and CDC tools; govern REST APIs and data schemas; connect enterprise databases, supply chain systems, and data lakehouses. Responsibilities include architecture, coding, deployment, code reviews, integration templates, testing, monitoring, and technical leadership.

Develop and support backend services and internal applications using C#, ASP.NET Core, GraphQL, and REST. Investigate production issues, build third-party integrations, write automated tests, participate in code reviews and CI/CD, and independently deliver projects in a Kanban environment. The role includes evaluating AI-generated code, mentoring teammates, collaborating with product managers, and participating in an off-hours on-call rotation.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Designs and maintains large-scale distributed systems on Azure using C# and .NET. Owns backend services, APIs, data access, cloud infrastructure, CI/CD, and operational support. Drives architecture and technical strategy, resolves systemic production issues, collaborates with business stakeholders, and mentors engineers. The role requires extensive experience with Azure, production backend systems, complex codebases, distributed systems, and regulated or domain-heavy industries, with preferred healthcare and life sciences expertise.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

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.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Own and improve billing APIs and full-stack Elastic Cloud console features. Lead projects from design through delivery, contribute to API architecture, improve observability and reliability, review code, mentor engineers, collaborate cross-functionally, and participate in on-call rotations. The role requires building scalable customer-facing systems across cloud infrastructure and supporting SaaS billing experiences in a distributed environment.

Own and improve global billing data pipelines and backend services using Python and PostgreSQL. Design reliable, scalable systems for usage ingestion, transformation, reconciliation, invoicing, and revenue records. Lead projects, optimize database performance, improve monitoring and incident response, participate in reviews and on-call rotations, mentor engineers, and help shape technical priorities. Collaborate with Product, SRE, and Cloud Infrastructure teams in a distributed environment.

Design, develop, test, troubleshoot, document, and deploy enterprise MuleSoft integrations, APIs, and connectors using Anypoint Platform and CloudHub. Optimize scalability, reliability, and performance; collaborate on integration testing and code reviews; integrate ERP, CRM, database, cloud, and third-party systems; and provide technical guidance to junior developers.