Senior Staff Software Engineer
St. David's HealthCare
Senior Staff Software Engineer Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. This position is responsible for developing, testing, and deploying innovative technology and data products within the ITG Accelerated Technologies organization and DT&I. They will help us build platforms and services that enable our physicians and clinicians to provide world-class care for patients in our hospitals. Along with technical expertise, a candidate for this position should be comfortable designing and reasoning about complex distributed systems. Major Responsibilities: This engineer can quickly learn, maintain and pragmatically improve existing solutions as well as design new ones. They will provide key problem resolutions for production systems as needed. They have an in-depth understanding of the services provided by ITG Accelerated Technologies and DT&I and can develop relationships throughout the organization to assist in accomplishing its goals for the company. This engineer strategically designs, constructs, and implements software in a software development environment. This engineer is a highly motivated self-starter and is committed to delivering high quality solutions within agreed upon timelines. They are committed to engineering excellence and comfortable working in a fast-paced complex environment. Strong application development skills are required using ReactJS, Node.js, Vue.js, NestJS TypeScript, or Python. GCP experience is preferred. Experience with AI assisted tooling such as GitHub Copilot, Lovable.dev, v0.dev, or other Vibe Coding tools is required. Experience with healthcare data and technology is preferred. Education & Experience: Bachelor Degree or work experience in lieu of degree Masters Degree Preferred 7+ Years Relevant Work Experience Required Knowledge, Skills, Abilities, Behaviors: Technology Experience: 7+ years of experience in most of the following: We are looking for experts in these areas. If you don't have experience in some of these, you are able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.
- Experience with cloud development technologies, especially Google Cloud Platform
- Strong proficiency in multiple programming languages, especially Python and SQL required.
- Data engineering experience includes architecture for ingesting, transforming, and feature engineering data elements used for data science and machine learning.
- Deep understanding of steaming and event driven architectures
- Strong understanding of best practices in the design of REST-based APIs
- Nuanced understanding of distributed version control
- Experience in data acquisition, data cleansing and parsing required.
- Detailed understanding of DevOps practices and extensive experience with associated tools.
- Extensive experience and deep understanding of container-based platforms such as Docker, Kubernetes, OpenShift, and Cloud Run
- Extensive Experience with container monitoring applications such as monitoring solutions such as Cloud Monitoring, SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix
- Understanding of data science concepts.
- SQL experience / database interrogation techniques
- Linux command line skills
- Scrum, Agile, Lean Product Development, Domain Driven Design
- Excellent communication skills, both written and verbal
- Experience and deep knowledge of Service Oriented Architecture (SOA)
- Healthcare experience, preferable
- Treats change and new situations as opportunities for learning or growth.
- Focuses on the beneficial aspects of change and speaks positively about the change to others.
- Seeks to understand changes in work tasks, situations, and environment as well as the logic or basis for change.
- Demonstrates the ability to help others adapt to change and to personally adapt to various work environments.
- Ability to network with corporate and field contacts.
- Frequent inter-departmental contact and presentations.
- Independently works with customers on a 1:1 basis, as well as in teams.
- Continues to refine development and analytical skills.
- Applies a consistent development approach to provide creative solutions to problems.
- Leads the design, construction and implementation of software and analytics solutions in the data science engineering environment.
- Expands the organizational technical knowledge by providing mentoring to internal team and attending professional development opportunities.
- Works independently with receiving minimal guidance. Acts as a team lead for multi-disciplinary projects.
- Acts as a mentor and provides directions to colleagues with less experience.
- Work is evaluated to ensure objectives are met.
- Exercises judgement in selecting and adapting methods and techniques for obtaining solutions.
- Contributes to designing standard practices and procedures. Required
$260.1k
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