Java Architect

• You’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
• Join us for significant technical transformation in Broker-Dealer Systems and the modernization of our core technology infrastructure. As a Technical Program Manager, this role will be leading teams in AI focused workflows across the System Development Life Cycle. You’ll work at the intersection of cutting-edge AI technology and complex financial domains, building intelligent systems that directly impact millions of people’s retirement security.

• Demonstrated experience in designing and leading large software development programs as Architect or people leader.
• Experience in digital transformation projects leading software development teams & working with Product owners and other stakeholders to translate business requirement into technical working solutions.
• Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC-implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation-while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
• Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
• Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
• Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
• Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.

Education:

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience, * 10+ years of professional software engineering experience in actively developing large scale software using: Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment.
• 2+ years of hands-on experience with AI/ML implementation and production deployment
• 6+ years of experience working with containers and microservices in the cloud.
• 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
• 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
• 2+ years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
• 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB

• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)

• Domain Expertise: Understanding of broker-dealer capabilities and operations.
• Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment
• Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc., * Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience
• Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
• Experience in Financial Services industry
• Experience in Test Driven Development, QA Automation and Quality mindset and behaviors
• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process
• Willingness to learn all aspects of tech stack and document
• Ability to research and document production and test environments along with architecture and design work
• Knowledge of Agile methodology and experience in an Agile working environment
• Experience with the Atlassian tool stack (JIRA and Confluence)