Software Engineer II

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.

RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.

Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.

We're searching for a Lehi, Utah-based Software Engineer to join our R&D team, so that we can keep our production systems healthy and our releases moving. The Software Engineer will focus on maintenance, operational support, and bug resolution, helping the team manage monthly upgrades, service requests, and chore-based work.

You will execute clearly scoped work defined by senior engineers, contributing to a high-performing team that deploys continuously and takes ownership of quality through end-to-end testing of your own work.

• Resolve bugs, complete monthly upgrades, and handle operational chores using Python (Django) and React to deliver reliable, production-ready work

• Diagnose and troubleshoot routine to moderately complex technical issues using systematic debugging in order to keep production systems stable

• Take full ownership of QA for the work you build or fix before submitting it for peer code review

• Follow established CI/CD and Git Hub pull request workflows to contribute to the team's daily deployment cadence

• Monitor system health and respond to alerts and service requests in order to support production stability and visibility into key application metrics

• Collaborate with senior engineers and the Product Owner to understand task scope and acceptance criteria for work items in Azure Dev Ops

• Professional software engineering experience in Python, with Django familiarity at a minimum (Django experience preferred)

• React familiarity and openness to front-end work, even if your primary strength is back-end

• Proven success writing clean, maintainable, well-tested code and diagnosing moderately complex issues using systematic debugging

• In-depth knowledge of relational databases (MySQL), Django ORM usage, and how to write performant queries

• Experience with AWS services (EC2, RDS, S3), REST APIs, Git-based Git Hub workflows, and standard Python and React testing frameworks

• Monitoring and logging awareness is a plus

• Ability to commute to our Lehi, Utah office approximately 2 days a week (higher in-office frequency during an initial onboarding period of around 1 month); no significant travel required

• Sincere interest in building software that improves healthcare outcomes

• Prior experience on a SaaS product team is a nice-to-have, and exposure to regulated industries (healthcare, finance, government) is a plus

• A knack for working collaboratively within an engineering-led Agile team where engineers own quality

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws.

As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.