Pay rate range - $80/hr. to $86/hr. Hybrid: Yes, 2 days in office Monday & Tuesday

Summary: We are looking for an experienced Java Development Lead with deep Spring Boot expertise to join our team. The candidate will lead the design, development, and maintenance of enterprise-grade microservices, with a heavy focus on Oracle SQL-driven business logic. This role requires strong systems thinking, technical leadership, and the ability to guide a team while remaining hands-on in development.

KEY RESPONSIBILITIES

• Lead the design, development, and maintenance of Java Spring Boot microservices deployed on Apache Tomcat
• Write, optimize, and review complex Oracle SQL queries that drive core business logic
• Own technical design discussions and drive architecture decisions across microservices
• Enforce code quality standards through GitHub Pull Request reviews and development best practices
• Break down business requirements into actionable technical tasks; manage delivery tracking in JIRA and document decisions in Confluence
• Mentor and guide junior and intermediate developers on Java/Spring Boot standards and patterns
• Identify and resolve performance bottlenecks in SQL queries and service layers
• Collaborate with cross-functional teams including product, QA, and infrastructure across the full development lifecycle
• Apply systems thinking to assess upstream and downstream impacts of changes across services
• Oversee automated testing strategies and provide direction on test coverage and quality gates
• Manage end-to-end software development lifecycle from design to deployment and post-release maintenance
• Take measured risks while protecting the organization by adhering to risk management frameworks, policies, and applicable standards
• Design and implement integrations with GenAI/LLM APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI Service)
• Architect scalable patterns for AI-augmented features including prompt management, context handling, token optimization, and response parsing
• Evaluate and integrate AI SDKs, and retrieval-augmented generation (RAG) pipelines into existing service architectures
• Establish guardrails, content filtering, and responsible AI practices for GenAI-powered features in production systems
• Drive adoption of AI-assisted development tools (e.g., GitHub Copilot, Claude Code) across the team to improve developer productivity and code quality

Skills needed: Technical Skills - In-Depth Proficiency Required Language: Java (8+, ideally 11/17) Framework: Spring Boot, Spring MVC, Spring Data JPA, Spring Security Database: Oracle DB - complex SQL, stored procedures, query optimization ORM / Data Access: Hibernate / JPA, JDBC Deployment: Apache Tomcat, WAR/JAR packaging Architecture: RESTful APIs, Microservices design patterns Version Control: Git, GitHub - branching strategies, PR reviews Build Tools: Maven or Gradle Project Tooling: JIRA, Confluence Testing: JUnit, Mockito, integration testing Operating System: Unix/Linux - basic command line navigation, file permissions, process management, log inspection

Leadership and Soft Skills

• Systems thinking - ability to reason about how changes ripple across services and teams
• Proven dev lead experience including task breakdown, sprint planning, team guidance, and stakeholder communication
• Strong verbal and written communication skills
• Analytical and problem-solving skills with a data-driven mindset
• Ability to influence technical direction and drive alignment across teams
• Strong collaboration skills with the ability to work across functions and seniority levels
• Technical writing and documentation for architecture decisions and runbooks

MUST HAVE

• 7+ years of hands-on Java development experience

• Minimum 3+ years with Spring Boot microservices in a production environment

• Demonstrated Oracle SQL expertise with a strong focus on query design and performance tuning

• Prior experience in a Development Lead or Senior Developer capacity is required

• Experience leading code reviews, technical discussions, and delivery planning

• Deep knowledge and technical proficiency gained through extensive education and business experience

NICE TO HAVE

• Cloud platform knowledge (AWS, Azure) - familiarity with cloud-native deployments, managed services, or containerized environments is an asset
• Experience with AI orchestration platforms, agent frameworks, or multi-model architectures
• Banking/Financial Industry experience

education/certifications: Post-secondary degree in Computer Science, Engineering, or equivalent combination of education and experience