Basic relocation package
About Optum
Careers with Optum.
Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve.
Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high-performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company, and a singular opportunity to do your life's best work.
Position
This role is based within Optum Insight as part of Data Science Services. Optum is the technology and services division of UnitedHealth Group, the leading international health insurer. The roles of the Software Engineering team within Data Science Services include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways.
Our Lead Software Engineers in this function cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery.
Primary Responsibilities:
- Design, code, test, document, and maintain high-quality and scalable Big Data and Analytic solutions
- Collaborates and communicates with IT cross-functional teams
- Implement best practices and coding standards of the project
- Performing all phases of software engineering including requirements analysis, application design, and code development & testing
- Designing and implementing product features in collaboration with business and IT stakeholders
- Research, evaluate, and deploy new tools, frameworks and patterns to build a sustainable Analytic platform
- Understand new product capabilities and decompose the implementation into specific functional changes for verification
- Participate in Agile/Scrum methodology to deliver high-quality software releases
- Collaborate with the scrum team to meet project timelines
- Review code and provide feedback relative to best practices and improving performance
- Troubleshoot production support issues post-deployment and come up with solutions as required
- Implement Spring boot microservices which acts as a Kafka Consumer and read the data from Kafka Topics which exists on Azure Cloud
- Implement Spring boot microservices to interact with Snowflake DWH Schema which exists on Azure Cloud
Your qualification
- Extensive hands-on Software Development experience
- Development experience with Python and/or Java
- Experience in developing applications on at least one major cloud platform (Azure preferred)
Preferred Qualifications:
- Experience with Docker, Kubernetes, NoSQL Databases and Azure Native Services
- Proficient with front-end languages including HTML, JavaScript, and CSS
- Experience of working with DevOps technologies
Additional details
A relocation package is discussed individually.