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4 results for Software Architect in Salt Lake City, UT
- Draper, UT
- onsite
- Permanent / Full Time
- 130000 - 150000 USD / Yearly
- We are looking for a Senior Software Engineer to build and enhance software solutions that support hearing healthcare services in Draper, Utah. This role will shape technical direction, contribute hands-on engineering expertise, and help deliver dependable applications used by customers and business partners. The ideal candidate brings strong full-stack development experience, sound architectural judgment, and a collaborative approach to solving complex technical challenges.<br><br>Responsibilities:<br>• Architect, develop, and maintain software components and services across the full development lifecycle, from initial design through production support.<br>• Guide engineering decisions by promoting sound coding practices, scalable design patterns, and maintainable application structure.<br>• Partner with product, design, and cross-functional stakeholders to translate business goals into effective technical solutions.<br>• Provide mentorship to other engineers through code reviews, technical coaching, and day-to-day development support.<br>• Strengthen system performance, resilience, and uptime by identifying issues proactively and implementing sustainable improvements.<br>• Build and evolve APIs, backend services, and user-facing features using modern web technologies and service-oriented approaches.<br>• Contribute to technical planning and roadmap discussions, helping prioritize work that improves platform capability and long-term stability.<br>• Implement secure and reliable solutions that support distributed systems, cloud-based environments, and event-driven integrations.
- 2026-07-21T00:00:00Z
- Lehi, UT
- remote
- Permanent / Full Time
- 160000 - 180000 USD / Yearly
- <p>We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight.</p><p><br></p><p>Responsibilities:</p><p>• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.</p><p>• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.</p><p>• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.</p><p>• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.</p><p>• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.</p><p>• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.</p><p>• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.</p><p>• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.</p>
- 2026-08-05T00:00:00Z
- Lehi, UT
- remote
- Permanent / Full Time
- 160000 - 180000 USD / Yearly
- <p>We are looking for an experienced Cloud Engineer to lead the design, reliability, and ongoing improvement of cloud infrastructure. This role focuses on building secure, resilient, and high-performing AWS environments while partnering closely with engineering and operations teams to support critical systems. The ideal candidate brings strong hands-on expertise in infrastructure automation, observability, and incident management, along with the ability to drive operational excellence across a modern cloud platform.</p><p><br></p><p>Responsibilities:</p><p>• Manage and enhance AWS core infrastructure components, including VPCs, Route 53, CDNs, load balancers, and EC2 services, to support secure and highly available operations.</p><p>• Build and refine multi-zone disaster recovery and resiliency solutions, and validate recovery readiness through recurring testing and review.</p><p>• Respond to production issues with cross-functional teams by diagnosing failures, identifying root causes, and implementing long-term corrective measures.</p><p>• Develop and maintain observability practices using tools such as CloudWatch and Datadog, including logging, metrics, dashboards, and alerting.</p><p>• Evaluate cloud environments for performance, scalability, and cost improvements, and recommend changes that strengthen operational efficiency.</p><p>• Create and support infrastructure automation using Terraform, CloudFormation, or AWS CDK to standardize provisioning and configuration management.</p><p>• Improve deployment workflows by contributing to CI/CD pipelines and automation processes using tools such as GitHub Actions, Harness, or similar platforms.</p><p>• Maintain clear technical documentation for infrastructure designs, configurations, procedures, and support practices.</p><p>• Partner with developers, system administrators, and security stakeholders to align cloud architecture with business and technical requirements.</p>
- 2026-08-03T00:00:00Z
- Salt Lake City, UT
- onsite
- Permanent / Full Time
- 140000 - 160000 USD / Yearly
- We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology.<br><br>Responsibilities:<br>• Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use.<br>• Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting.<br>• Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability.<br>• Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency.<br>• Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture.<br>• Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets.<br>• Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
- 2026-08-05T00:00:00Z