Java Engineering Lead

 

The IB Tech & CRM/Analytics team is a highly strategic and cross-functional team responsible for leading the firm’s global digitalization effort. This initiative, spanning all client-facing business units and corporate functions, will drive innovation and strategic change through technology, data science, and deep analytics. The team partners with key business leaders and industry experts to build transformational technology to drive revenue, maximize efficiency, and optimize the allocation of resources. The IB Tech & CRM/Analytics team is at the forefront of Jefferies’ cloud initiative, leveraging best-in-class cloud-based technologies to replace legacy on-premises solutions to provide intelligent trend insights, actionable opportunities, decision support, and transparency into all client and business-related activities.

Job Highlights:

• Exciting and unique opportunity to be a member of our corporate IB Tech & CRM/Analytics Team, tackling our toughest and most exciting data engineering challenges across multiple divisions in Jefferies.
• Modern, fully cloud-native, tech stack that leverages several AWS products to orchestrate an event driven data distribution platform.
• Collaborate with our team of passionate and innovative data specialists, application developers and product managers.
  
  
  

Key Responsibilities:

We are looking for a lead Java engineer who will:

• Contribute to the end-to-end SDLC process on high-impact Madison projects, from conception for new –maintenance for existing, design, implementation, testing, release, and support.
• Facilitate alignment across IB Tech & CRM/Analytics teams on goals, outcomes, priorities, deadlines, and deliverables.
• Influence, mentor, and collaborate with a distributed set of engineers, within multiple time zones, to set clear standards and best practices
• Write readable, testable, and maintainable code
• Drive innovation of new technologies
  
  
  

Experience Needed:

• 12+ years of experience with Java development
• Excellent written and verbal communication skills with the ability to present complex technical solutions in a clear and concise manner
• Hands on experience designing, developing, and delivering Java-based APIs (GraphQL/OpenAPI/gRPC) and Microservices using Spring Boot and AWS products (ECR/EKS/EC2/Beanstalk)
• Experience with Streaming Technologies like Kafka, including designing and developing complex, scalable, and high-performance applications. Proven track record of delivering robust and efficient solutions in a fast-paced environment.
• Experience in working with SQL building Stored Procedures, Functions and Data Warehousing solutions.
• Strong problem-solving skills and design skills with focus on distributed, highly available, and fault tolerant systems
• Experience in developing TDD/BDD unit-tests and work with Quality Assurance team members on defect triage and resolution.
• Proactively participates in Agile Ceremonies like Sprint Planning, Backlog Grooming etc., and experience in working with virtual teams.
• Provides Leadership skills in mentoring team members, resolving technical challenges and performing code reviews in a peer programming environment.
• Experience building systems from scratch, demonstrating a deep understanding of software architecture and design principles.
• In-depth knowledge of Kafka and its ecosystem, with prior experience in event-driven architecture. Ability to design and develop robust data pipelines and streaming applications.
• Experience with AWS EKS (Elastic Kubernetes Service), including deploying and managing containerized applications. Strong understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
• Strong multi-tasking skills and able to learn new technologies quickly
  
  
  

Good to Have:

• Exposure to Front-End web development (Angular/React/JavaScript/Typescript)
• Exposure to Financial Services & Investment Banking business domain.
• Exposure to Salesforce or similar CRM Eco-System.
• Exposure to Business Intelligence tools (Tableau CRM, Cognos, PowerBI, etc.).

Exposure to ETL & Data Engineering tools like Mulesoft, StreamSets & Databricks.