Java Architect

We are seeking an experienced Java Solutions Architect to lead the design and implementation of robust, scalable microservices using Java/JVM frameworks (Java 17+, Spring Boot/MicroProfile, or equivalent). You will architect a modern cloud-native application suite, guiding the migration from legacy RPG-based systems to a future-proof, AWS-powered microservices ecosystem.

Responsibilities

• Core Platform: Java/JVM-based frameworks (Java 17+, Spring Boot/MicroProfile, or similar) for building microservices. Will be a Java application suite, replacing RPG code
• Design end-to-end architectures for Java-based microservices, leveraging frameworks like Spring Boot or MicroProfile.
• Lead the migration strategy from RPG (Report Program Generator) codebases to modern Java applications.
• Architect and implement cloud-native solutions on AWS, ensuring best practices in security, scalability, and cost-efficiency.
• Oversee the setup of AWS compute (EC2, Lambda, EKS/ECS), storage (S3, RDS, DynamoDB), and infrastructure automation (Terraform, CloudFormation).
• Define API contracts, service orchestration, and data integration patterns.
• Guide development teams on adopting microservices, DevOps pipelines, and infrastructure-as-code.
• Collaborate with stakeholders—including developers, product owners, and business analysts—to gather requirements and deliver effective solutions.
• Optimize system performance, reliability, monitoring, and disaster recovery protocols within AWS.
• Stay updated on emerging technologies and recommend improvements to maintain modern, maintainable architectures.
• Comfortable learning new technologies on the job
• Claude 3.7 or 4 Sonnet LLM
• AST (abstract syntax tree)
  
  

Requirements

• 12-15+ years of hands-on experience with Java Expertise: Deep hands-on experience with Java/J2EE, Spring Boot (or equivalent) and designing microservices-based applications. Strong understanding of object-oriented design and enterprise patterns.
• Cloud Architecture: Proven track record designing and implementing AWS solutions. Comfortable with AWS compute (EC2, Lambda, EKS/ECS), storage (RDS, S3, DynamoDB), and security best practices. Experience with infrastructure-as-code (Terraform, CloudFormation) is expected.
• AWS Bedrock
• AI/ML Awareness: Interest or experience in generative AI (LLMs) and RAG for code/documentation tasks. Knowledge of how static analysis and LLMs can automate migrations will help.
• Legacy Modernization Experience:
• Understanding of SDLC and agile in particular
• Hands-on experience with developer daily basis tools such as IDE’s, compilers, debuggers, profilers, version control systems, bug tracking systems, build systems, code coverage and automated testing tools
• Ability to proactively identify and solve engineering problems in a simple manner.
• Good interpersonal communication skills, both verbal and written.
  
  

Nice to have

• Prior involvement in a legacy-to-modern migration (e.g. mainframe or IBM i/AS400 modernization) is highly desirable. Familiarity with RPG (Report Program Generator) or other IBM i technologies (DB2, CL) is a plus. You should be able to reverse-engineer and interpret legacy code and data models
• Visual representations of code flows to illustrate process sequences, data handling, and functional relationships within the modules. Mermaid.JS
• Domain Knowledge: Experience in automotive, transportation or enterprise services (dealership systems, supply chain) is a bonus.
• Additional Languages: Familiarity with Python (for scripting LLM tools, data processing).
• Soft Skills: Prior experience in POC/proof-of-concept projects or architecture prototyping.
• Experience in API development and knowledge of the main principles and best practices
  
  

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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