Client: Wells Fargo through NTT Data
Location: Charlotte, NC
Duration: 12 months with possible extension
Onsite Requirement: 3 days per week
Note: We will only consider local candidates.
Lead Java Developer — Job Description
Rate: $68/hr. (max)
Role Summary The Lead Java Developer will take ownership of end‑to‑end design and delivery of Java‑based microservices, lead a team of developers, and collaborate with architects and product managers to shape technical solutions. This role is both hands‑on and leadership‑oriented, bridging engineering execution with architectural direction.
Key Responsibilities
- Lead design and implementation of scalable, resilient, and secure microservices and event‑driven distributed systems.
- Drive technical decision‑making, solution design, and code quality across the team.
- Guide, mentor, and support developers through code reviews, pair programming, and technical coaching.
- Work with product managers, architects, and stakeholders to translate requirements into technical solutions.
- Oversee performance optimization, system reliability improvements, and engineering best practices.
- Ensure adherence to security standards, compliance requirements, and architectural guidelines.
- Contribute to continuous improvement, evaluating new technologies, frameworks, and patterns.
- Support deployment pipelines, release planning, and DevOps best practices.
Required Qualifications
- 10–15 years of experience in Java development, including 5+ years leading technical teams or playing a lead developer role.
- Expert‑level proficiency in Java 11+, Spring Boot, Spring Cloud, and distributed application design.
- Strong experience designing microservices, event-driven systems, and APIs.
- Deep understanding of relational and NoSQL databases, schema design, and performance tuning.
- Experience with Kafka, RabbitMQ, or other event‑streaming technologies.
- Strong grounding in cloud-native development, DevOps practices, Docker, and Kubernetes.
- Excellent communication, leadership, and cross‑team collaboration skills.
Preferred Qualifications
- Experience with API gateways, service mesh, caching layers, and distributed tracing.
- Exposure to Google ADK (Agent Developer Kit) for building enterprise‑grade AI agents, workflows, and tool-augmented conversational systems.
- Hands-on experience with agent frameworks such as:
- LangChain / LangGraph
- OpenAI Assistants API
- HuggingFace Transformers Agents / Autogen
- Ability to design and integrate AI toolchains for workflow automation, including function-calling agents, task decomposition strategies, and memory-enabled agent systems.
- Prior experience building or integrating autonomous or semi-autonomous AI agents in production-like environments (e.g., customer service agents, coding agents, troubleshooting agents).
- Exposure to Google Vertex AI, Gemini APIs, Amazon Bedrock, or Azure OpenAI Service for deploying and operationalizing GenAI solutions.
