Job Summary
The Java Architect is responsible for leading large-scale enterprise software development programs, defining technical strategy, and driving modernization initiatives from legacy platforms to distributed, cloud-native architectures. The role requires deep hands-on expertise in Java and the Spring Framework, experience building highly available and high-volume enterprise applications, and the ability to lead engineering teams through complex technology transformations. The architect will collaborate with engineering teams, architects, product owners, business stakeholders, and executive leadership to translate business requirements into technical solutions. The position also focuses on establishing AI-assisted engineering practices across the software development lifecycle (SDLC), adopting Generative AI tools and agentic workflows, and improving software delivery through automation, code reviews, testing, documentation, and troubleshooting.
Key Responsibilities
• Lead large-scale enterprise software development programs and drive technical delivery across complex initiatives.
• Define technical strategy, architectural direction, and engineering standards for enterprise applications.
• Drive modernization initiatives involving legacy systems, distributed architectures, and cloud-native platforms.
• Collaborate with product owners and business stakeholders to translate business requirements into scalable technical solutions.
• Establish best practices for AI-assisted software development and guide engineering teams in adopting Generative AI throughout the SDLC.
• Integrate AI-assisted development workflows into implementation, code reviews, testing, automation, documentation, and troubleshooting activities.
• Design and guide the development of enterprise applications using Java, the Spring Framework, REST APIs, microservices, and cloud-native architecture.
• Support highly available, high-volume financial transaction platforms requiring reliability, scalability, and performance.
• Provide technical leadership and mentorship to engineers and influence software engineering standards and practices.
• Evaluate and implement AI-assisted engineering tools and workflows, including GitHub Copilot, Claude Code, GPT models, Gemini, and related technologies.
• Guide the adoption of agentic workflows, spec-driven development, prompt engineering, and AI-assisted development frameworks.
• Support application deployment and delivery through CI/CD pipelines, containerization, and Agile methodologies.
• Collaborate with cross-functional teams to resolve technical challenges and ensure alignment between architecture, implementation, and business objectives.
• Establish and maintain technical documentation, architecture diagrams, and engineering guidelines.
Required Qualifications
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 10+ years of professional software engineering experience.
• Demonstrated experience leading large software development programs as an architect or engineering leader.
• Experience leading digital transformation and enterprise modernization initiatives.
• Strong hands-on expertise in Java and the Spring Framework.
• Experience building large-scale, high-volume enterprise applications.
• 6+ years of experience with cloud technologies, containerization, and microservices.
• 6+ years of experience with CI/CD practices and pipelines.
• 2+ years of experience implementing AI/ML solutions and deploying them in production environments.
• 2+ years of experience with at least one of the following platforms: AWS, GCP, or Pivotal Cloud Foundry (PCF).
• 2+ years of database experience with MongoDB, PostgreSQL, or Aerospike.
• Experience modernizing legacy systems and implementing distributed architectures.
• Hands-on experience with Generative AI tools and AI-assisted development workflows.
• Practical experience with GitHub Copilot and/or Claude Code.
• Strong stakeholder communication, technical leadership, and decision-making skills.
• Experience with REST APIs, web services, containers, and microservices-based application architectures.
• Familiarity with Agile methodologies and enterprise software delivery practices.
Preferred Qualifications
• Master's degree in Computer Science, Software Engineering, or a related field.
• Experience in financial services.
• Experience in the broker-dealer domain.
• Experience with Kafka or RabbitMQ.
• Experience with quality assurance automation and Test-Driven Development (TDD).
• Strong technical documentation and architecture diagramming skills.
• Experience with AI-assisted engineering frameworks, agentic workflows, prompt engineering, and spec-driven development.
Technical Environment
• Development and Architecture: Java, Spring Framework, REST APIs, web services, cloud-native architecture, containers, and microservices.
• Cloud Platforms: AWS, Google Cloud Platform (GCP), and Pivotal Cloud Foundry (PCF).
• Databases: MongoDB, PostgreSQL, and Aerospike.
• AI and Machine Learning: GitHub Copilot, Claude Code, GPT models, Gemini, PaLM, agentic workflows, spec-driven development, prompt engineering, and AI-assisted development frameworks.
• DevOps and Delivery: CI/CD pipelines, Jira, Confluence, and Agile methodologies.
• Additional Technologies: Kafka, RabbitMQ, QA automation, and Test-Driven Development (TDD).
