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3 results for Senior Java Engineer 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
- Salt Lake City, UT
- remote
- Temporary / Contract
- 61.75 - 70 USD / Hourly
- <p>We are looking for a Google Cloud Engineer to support secure, scalable, and reliable cloud environments for teams building advanced technology solutions in Salt Lake City, Utah. This is a Contract position focused on strengthening production infrastructure, improving automation, and enabling high-performing engineering and data workflows on Google Cloud. The ideal candidate brings deep experience with a systems administration or applications background compared to only DevOps experience.</p><p><br></p><p>Responsibilities:</p><p>• Architect, deploy, and support production services on Google Cloud with an emphasis on resilience, security, performance, and cost efficiency.</p><p>• Build and maintain infrastructure components across compute, storage, databases, messaging, serverless platforms, and Kubernetes-based environments.</p><p>• Develop and enhance CI/CD pipelines and automation workflows to provision, validate, and release infrastructure and application changes safely.</p><p>• Implement Infrastructure as Code using Terraform and establish guardrails that reduce risk, improve consistency, and support controlled change management.</p><p>• Strengthen cloud foundations by defining and applying standards for identity access, private networking, firewall controls, secrets management, and data protection.</p><p>• Improve platform observability through monitoring, logging, tracing, and cost reporting, and use insights to optimize service health and operational visibility.</p><p>• Respond to incidents, investigate root causes, refine alerting and service objectives, and improve backup, recovery, and capacity planning practices.</p><p>• Partner with security, platform, data, and application teams to review architecture decisions, operational readiness, and risk before production launches.</p><p>• Guide engineering teams on Google Cloud best practices, sustainable operational processes, and effective use of automation across the delivery lifecycle.</p>
- 2026-07-31T00:00:00Z
- 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.
- 2026-07-17T00:00:00Z