Java Architect

Spectraforce Technologies

Role: Java Architect
Location: Southlake, TX or Austin, TX 4 days per week on-site
Duration: 6 months

Hiring Manager Feedback:

Seeking senior architects with strong enterprise architecture experience combined with extensive AI agent experience.
Traditional Java architecture alone will not be sufficient.
AI agent experience must be practical, hands-on, and clearly demonstrated.
Candidates should be capable of discussing how AI agents improved software architecture, engineering workflows, or developer productivity.

Must Have

Senior Java Architecture
Enterprise system design
Extensive hands-on AI agent experience
Software modernization
Architecture leadership
Enterprise application design

Preferred

AI-assisted software development
Enterprise modernization
Distributed systems
Large-scale application architecture
Cloud-native architecture

Your Opportunity:

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.

Required Qualifications

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

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.

Preferred Qualifications:

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)

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