Technical Delivery Lead

CareSource•Dayton, OH

18h

About The Position

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.

Requirements

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

Nice To Haves

Architecture or cloud certifications (TOGAF, etc.)

Responsibilities

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)
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.
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
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
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
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
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
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
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

Benefits

Compensation Range: $94,100.00 - $164,800.00
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.

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