Developer Lead (Java / Angular)

BMO•Calgary, AB

10d•Onsite

About The Position

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. The role also involves designing and implementing integrations with GenAI/LLM APIs, architecting scalable patterns for AI-augmented features, evaluating and integrating AI SDKs and RAG pipelines, establishing guardrails for GenAI features, and driving the adoption of AI-assisted development tools.

Requirements

Java (8+, ideally 11/17)
Spring Boot, Spring MVC, Spring Data JPA, Spring Security
Oracle DB - complex SQL, stored procedures, query optimization
Hibernate / JPA, JDBC
Apache Tomcat, WAR/JAR packaging
RESTful APIs, Microservices design patterns
Git, GitHub - branching strategies, PR reviews
Maven or Gradle
JIRA, Confluence
JUnit, Mockito, integration testing
Unix/Linux - basic command line navigation, file permissions, process management, log inspection
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
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
Post-secondary degree in Computer Science, Engineering, or equivalent combination of education and experience

Nice To Haves

Cloud platform knowledge (AWS, Azure)
Familiarity with cloud-native deployments, managed services, or containerized environments is an asset

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