Senior Software Engineering Lead - Java Script and Nodejs

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.

We are looking for a Senior Software Engineer to design and implement new systems and features, as well as modify and maintain existing systems for adaptation to business and/or technology changes. The Senior Software Engineer engages directly with IT management, development teams, and technical delivery teams to ensure the successful design, development, and delivery of technology-based solutions.

To be successful as a Senior Software Engineer, you should be able to drive the software change and release management processes, assisting with the overall maturity of the software development lifecycle. Ultimately, a top-notch Senior Software Engineer will ensure that software deliverables comply with quality standards and are completed on time.

Primary Responsibilities:

• Serve as a technical lead contributing to and directing the efforts of development teams, including internal and external team members
• Contribute to the ongoing evolution of the existing content supply portfolio of applications and services
• Design, develop, modify, implement, and support software components anywhere in the software stack
• Determine root cause for the most complex software issues and develop practical, efficient, and permanent technical solutions
• Remain current on new technologies and available vendor packages; evaluate and make recommendations as necessary
• Assist in task planning, estimation, scheduling, and staffing
• Mentor Software Engineers to allow for skill/knowledge development through advice, coaching, and training opportunities
• Determine process improvements, best practices, and develop new processes
• Work in close partnership with cross-functional teams and management
• 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 regard 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

• Graduate Degree
• Overall 8+ years of experience
• 6+ years experience with development life-cycle
• 5+ years development experience with .NET/Java/JavaScript and Nodejs technologies in a professional environment
• 2+ years development experience with SQL
• Expert knowledge with Web APIs and (REST) based communication; experience with API testing tools such as Postman
• Experience with Git, Team Foundation Server or similar source control programs
• Familiarity with CI/CD pipelines
• Solid knowledge of Visual Studio and VB.NET, SQL Server and relational database modeling concepts
• Solid knowledge of SQL Management Studio, Team Foundation Server or similar source control programs
• Ability to perform assigned software development tasks using established standards and procedures with minimal supervision
• Proven analytical and problem-solving skills
• Ability to meet scheduled task requirements within assigned deadlines

• Experience with Large Language Models (LLMs) such as OpenAI, Google Gemini, or similar
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Familiarity with deploying and integrating AI/ML models into production systems
  Experience with cloud-based AI services (e.g., Azure AI, AWS SageMaker, Google Vertex AI)
• Understanding of natural language processing (NLP) techniques and applications
• Knowledge of data engineering and model training pipelines
• Exposure to ethical AI practices and model evaluation techniques