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Software Engineer II

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: WiseHR Group
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, AWS, DevOps
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Candidates must be authorized to work in the United States. This is a hybrid position requiring in office presence 2-3 days during the week.

About the Company

We have been engaged by a fast-growing software company on an exciting growth trajectory and looking for exceptional candidates to join their team as they embark on their next stage of growth. Founded almost a decade ago, the company is a provider of SaaS-based scheduling, workforce management, and business intelligence solutions. The company is based in the Silicon Slopes area of Utah and backed by a leading private equity firm.

Position

Description

Our client is currently seeking a talented mid-level Software Engineer for an AI-first, specification-driven development role focused on building and operating reliable cloud-based SaaS systems. This position will design, build, and maintain scalable software systems, collaborate with cross-functional teams, and provide technical leadership on projects that directly impact our business. You will create clear technical specifications, use AI tools as the primary part of the development process, and apply strong engineering judgment to specifications, architecture, implementation, testing, security, and production reliability.

The ideal candidate has hands‑on experience with AWS or similar cloud platforms, Terraform, Helm, SaaS systems with high uptime requirements and modern software development practices.

Key Responsibilities

Design, build, test, deploy, support and maintain production software systems for cloud-based SaaS platforms

  • Work in an AI-first development workflow, using AI tools to develop, implement, test, debug, refactor, and document reliable, maintainable production systems and code.
  • Develop services, APIs, automation, external integrations and internal tooling using Go, Python, Type Script or similar languages.
  • Build and operate cloud infrastructure, preferably in AWS, with attention to scalability, security, reliability, observability, and cost.
  • Contribute to the design and operation of SaaS architectures with high uptime and reliability requirements.
  • Improve CI/CD pipelines, deployment automation, infrastructure workflows, and developer tooling using Helm and Terraform. Maintain production health through monitoring, alerting, incident response, run books, and post-incident improvements. Contribute in a continuous improvement environment and help improve engineering standards across the team.
Required Qualifications

3+ years of professional software engineering experience, or equivalent demonstrated ability. Professional experience with at least one of the following languages:
Go, Java, Python, Rust, or Type Script. Demonstrable experience working with technical specifications, design documents, acceptance criteria, or structured development plans.

  • Demonstrable experience using AI tools in software development, such as Codex, Cursor, Claude or similar tools.
  • Clear understanding of the strengths and limitations of AI-assisted development, including code review, correctness, adversarial reviews, security, maintainability, and testing concerns.
  • Strong understanding of software engineering fundamentals, including testing, debugging, version control, code review, API design, and maintainable system design.
  • Ability to diagnose production issues and reason across application, infrastructure, network, and data layers.
  • Strong English written and verbal communication skills.
  • Ability to work in a hybrid environment with some in‑office time required.
  • Ability to pass a background check in accordance with company HIPAA policies.
Preferred Qualifications

Professional software engineering experience building, deploying, operating and supporting SaaS systems. Professional experience with AWS services such as ECS, EKS, Lambda, API Gateway, S3, RDS, DynamoDB, Cloud Watch, IAM, Event Bridge, SQS, SNS, or similar services. Experience using Terraform, Helm and Kubernetes workloads in production. Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.

Experience designing event‑driven, distributed, or fault‑tolerant systems. Experience with secure software development practices, including…

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