Manager, Engineering

WellSky•Overland Park, KS

18d•Onsite

About The Position

The Engineering Manager is responsible for overseeing the design, architecture, and delivery of high-quality software solutions in our PACF business unit. The scope of this job includes leading a team of engineers and technical experts, driving both technical and operational success, and fostering a collaborative and results-oriented environment.

Requirements

Bachelor's degree in a related field or equivalent work experience
4 - 6 years related work experience.
3+ years of technical leadership experience of engineering teams.
Strong comprehension of IBM i, RPGLE, DB2 SQL and full-stack application development.
Hands on experience with Claude Code or similar AI tooling
Knowledge of Application Security principles and frameworks (Oauth2 etc.).
Experience working with Agile teams rolling out software versioning and hot fixes in the support of client requirements.
Knowledge of DevOps, Pipelines, CI/CD and Automation using industry standard tools.
Excellent written and oral communication skills.
Experience in Cloud native technologies.

Nice To Haves

Prior experience in healthcare.
Prior integration with standards like HL7 and FHIR.
GCP cloud native development.

Responsibilities

Lead a software development team by fostering a collaborative, inclusive, and high-performing team culture.
Oversee the planning, prioritization, and execution of key engineering projects, and ensure timely delivery of high-quality software solutions that meet business needs and technical requirements.
Provide technical leadership to help shape the architecture, design, and implementation of software systems that adhere to engineering best practices, including code quality, automation testing, and documentation.
Continuously assess and improve engineering processes from development workflows to deployment pipelines.
Work closely with solution managers, designers, and other engineering leaders to define project requirements in alignment with business goals and address any blockers or technical challenges.
Set clear goals for team members, conduct performance reviews, provide constructive feedback, and identify opportunities for skill development and career growth.
Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes.
Perform other job duties as assigned.