Java Architect

Quick application:

Solutions Architect

Essential functions

• 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 stakeholdersincluding developers, product owners, and business analyststo 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)

Qualifications

• Proficiency in English (B2+) is essential with great communication skills.

• 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.

Would be a plus

• 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