We are seeking a Tech Lead focusing on AI, Modernization & Transformation to drive enterprise-scale transformation of our platforms through Agentic AI, cloud-native architecture, and real-time data processing.
This role combines hands-on engineering excellence with strategic leadership, modernizing legacy systems into scalable, intelligent, cloud native high-performance platforms using Java, Spring Boot, Python and Mongo DB.
The ideal candidate brings deep expertise in distributed systems, real-time processing, and AI-driven engineering, along with strong experience in Test-Driven Development (TDD), reverse engineering, and close collaboration with enterprise architects. A proven track record of applying AI to deliver measurable transformation outcomes is essential.
Experience with EDI and Encounter processing platforms is highly valued, particularly in transforming high-volume, regulated systems into real-time, modern API based architectures.
Key Responsibilities
1. Agentic AI & AI-Driven Transformation
- Lead implementation of Agentic AI systems (autonomous agents, multi-agent orchestration, intelligent workflows)
- Drive adoption of LLMs, RAG pipelines, and AI-assisted engineering practices
- Deliver production-grade AI use cases that improve performance, cost efficiency, or developer productivity
- Integrate AI into the full engineering lifecycle (development, testing, operations)
2. Modernization, Reverse Engineering & Transformation
- Lead modernization of legacy systems using reverse engineering to analyze, decompose, and redesign complex architectures
- Transform monoliths into cloud-native, microservices-based and event-driven systems
- Modernize EDI and Encounter processing platforms into real-time, scalable architecture
- Define and execute multi-year transformation roadmaps in alignment with enterprise strategy
- Apply design thinking to reimagine systems from a business-value and user-outcome perspective
- Partner closely with architects to ensure alignment with enterprise architecture standards and long-term vision.
3. Backend Engineering Excellence (Java, Spring Boot, Python, SQL)
- Lead development of:
- Java / Spring Boot microservices
- Python-based services, automation, and AI pipelines
- SQL-based data processing and analytics solutions
- Design systems for high-volume transaction processing and scalability
- Drive best practices in clean architecture, reusable design patterns, and observability
4. Test-Driven Development & Engineering Discipline
- Champion Test-Driven Development (TDD) across engineering teams
- Establish robust automated testing frameworks:
- Unit testing
- Integration testing
- Performance testing
- Enable quality-first engineering culture with reduced defects and improved release confidence
- Embed testing into CI/CD pipelines for continuous validation
5. Real-Time Data & Distributed Systems
- Design and implement real-time data processing and streaming solutions
- Build systems capable of:
- High throughput
- Low latency
- Event-driven scalability
- Support mission-critical transaction systems (claims, encounters, eligibility, payments)
- Optimize for performance, resiliency, and fault tolerance
6. Cloud & Platform Engineering
- Architect end-to-end cloud-native solutions across:
- Compute, storage, networking
- Security and compliance
- Monitoring and observability
- Drive adoption of:
- Kubernetes, Docker
- CI/CD pipelines
- Infrastructure as Code (IaC)
- Build platforms supporting both transactional and analytical workloads
7. Technical Leadership, Collaboration & Design Thinking
- Partner closely with enterprise and solution architects on architecture decisions and target-state design
- Apply design thinking methodologies to solve complex business and technical challenges
- Lead and mentor engineering teams, driving high standards of execution
- Conduct architecture reviews, design sessions, and code reviews
- Establish reusable frameworks, standards, and engineering best practices
8. Business Impact & Performance Outcomes
- Demonstrate proven ability to use AI to transform systems and processes, including:
- Performance improvement
- Cost reduction
- Productivity acceleration
- Deliver measurable outcomes through:
- Modernization initiatives
- AI-driven automation
- Real-time system enablement
- Ensure enterprise-grade reliability, scalability, and compliance
Required Qualifications
- 10+ years of experience in software engineering / architecture
- Strong hands-on expertise in:
- Java (Spring Boot) – required
- Python – required
- SQL, MongoDB and data processing – required
- Experience with:
- Agentic AI frameworks and autonomous systems
- LLMs, RAG pipelines, and production AI solutions
- Experience with:
- Event streaming platforms (Kafka or equivalent)
- Data lakehouse / advanced data engineering platforms
- Proven experience designing real-time, distributed systems
- Strong experience with Test-Driven Development (TDD)
- Demonstrated expertise in reverse engineering and modernization of legacy systems
- Experience working with high-volume transactional systems (EDI, Encounters, claims, or similar)
- Proven collaboration with enterprise architects and design frameworks
- Strong design thinking capability applied to system transformation
- Demonstrated success in leveraging AI for measurable transformation outcomes
- Experience with cloud-native platforms (Azure, AWS, OCI)
- Experience leading engineering teams in transformation initiatives
Preferred Qualifications
- Architecture or cloud certifications (TOGAF, etc.)
Leadership Expectations
- Act as a transformation leader, not just a delivery lead
- Balance hands-on engineering with strategic thinking and design orientation
- Influence across engineering, architecture, and business stakeholders
- Drive a culture of:
- AI-first innovation
- Engineering excellence (TDD, quality-first mindset)
- Ownership and accountability
- Prioritize team activities based upon IT leadership priorities and bandwidth
- Representing IT in project/business meetings and engagements
- Improve solution functionality and efficiency with added business value
- Collaborate closely with other business areas to optimize the use of systems and applications
- Collaborate with the department manager to systematically evaluate currently deployed services; develop and manage plans to optimize delivery and support mechanism
Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GM1
