Principal Software Engineer

Job Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

- Oversee the design, development, and deployment of cloud applications
- Act as service-level owner of high-revenue, business-critical production service
- Lead the response to any incidents or outages, ensuring quick resolution and minimal impact on users
- Lead, mentor, and manage teams of software engineers and coach on opportunities and career growth
- Contribute to Design, Development, Unit Testing, System Testing and Test Automation activities
- Collaborate with product management, and key leaders to translate product roadmaps into successful delivery and customer value
- Provides leadership to and is accountable for the performance of leads and/or senior level professional staff
- Bring innovative ideas to help continuously improve the application portfolio including the design, build, deploy, test and runtime within cloud ecosystems
- Be able to prioritize and manage work to critical project timelines in a fast-paced environment
- Work with geographically distributed Agile teams
- Drive continuous improvement in cross-functional processes through collaboration with business and technology teams
- Stay informed about the platform strategy and roadmaps to inform technical staffing needs and align deliverables with business priorities
- Integrate AI into daily work to accelerate delivery and enhance productivity using Microsoft Copilot for writing documentation and proposals
- Use AI-assisted code writing during development of mobile applications
- Use AI-powered SDLC tools to generate user stories, unit tests, integration tests, and load tests
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
- 8+ years of hands-on development experience with one or more mainstream programming languages, demonstrating solid object-oriented programming expertise
- 5.3+ years of experience working with real-time streaming technologies like Apache Kafka or AWS Kinesis
- 5+ years leading development teams and/or managing IT project timelines and deliverables
- 3+ years of experience developing solutions on public cloud platforms such as Azure or AWS
- Experience with microservices architecture and containerization technologies including Docker and Kubernetes
- Domain knowledge in the healthcare industry
- Familiarity with DevOps principles and a track record of implementing automation within development workflows
- Solid background in Agile methodologies and practices
- Proficient in CI/CD, security, and vulnerability management tools such as Maven, GitHub Actions, ServiceNow API integration for automated deployments, Fortify, and SonarQube
- Proven ability to lead by example with hands-on coding and a solid emphasis on sound design principles
- Proven ability to contribute to the enterprise's AI strategy by maintaining and optimizing infrastructure platforms that support AI-enabled analytics and automation capabilities
- Proven ability to leverage code generation AI tools, such as GitHub Copilot, to develop and test tools, automation scripts, and Infrastructure as Code (IaC) programs

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