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 highly skilled Technical Lead with solid expertise in Java, Spring Boot, Kafka, cloud-native development, Databricks, Azure, and AI/ML technologies. The Technical Lead will be responsible for leading design and development efforts, ensuring engineering excellence, mentoring developers, and delivering high-quality, scalable solutions aligned with enterprise needs.
Primary Responsibilities:
- Technical Leadership
- Drive end-to-end technical design, detailed architecture, and development of complex systems
- Apply object-oriented principles and recommended design patterns to build scalable and maintainable solutions
- Provide hands-on technical guidance, mentor developers, and enforce engineering best practices
- Conduct design reviews and code reviews to ensure adherence to coding standards and architectural guidelines
- Application Development
- Lead development of backend services using Java, Spring Boot, Kafka, and microservices frameworks
- Develop cloud-native applications and services on Azure
- Participate actively in the entire SDLC - requirements analysis, prototyping, design, development, testing, and deployment
- Data & AI/ML Engineering
- Work with Databricks for data engineering, transformations, and analytics workloads
- Build data pipelines, model training workflows, and deployment processes for AI/ML use cases
- Select and integrate appropriate AI/ML frameworks such as TensorFlow or PyTorch
- Collaborate with data scientists to operationalize ML models
- Cloud & Integration
- Serve as a technical SME for Azure cloud components including compute, storage, networking, and DevOps services
- Work with SQL MI and enterprise RDBMS platforms (SQL Server, Oracle)
- Design solutions integrating streaming platforms such as Kafka
- Support the creation of digital-native applications such as portals and mobile-ready solutions
- Quality, Performance & Automation
- Drive initiatives to improve code quality, automation, testing, CI/CD, and performance optimization
- Ensure robust monitoring, logging, and observability across services
- Contribute to reusable engineering assets, accelerators, and design templates
- Collaboration & Communication
- Work closely with architects, product owners, and cross-functional teams to align on requirements and solution approaches
- Prepare technical documentation and contribute to client-ready design materials
- Assist in technical discussions and demos with stakeholders and customers
- 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:
- Fulltime graduation degree
- Solid hands-on experience in Java, Spring Boot, microservices, and REST API development
- Solid experience with Azure cloud services (AWS/GCP exposure a plus)
- Experience with Databricks, SQL MI, and relational databases (SQL Server, Oracle)
- Solid knowledge of Kafka and integration patterns
- Understanding of AI/ML system design, data pipelines, and model deployment workflows
- Expertise with software architecture, design patterns, and best practices
- Proven ability to lead teams technically and influence solution design
- Proven excellent problem-solving skills and communication abilities
