Solution Architect-(Java Modernisation)

Role : Solutions Architect

Customer 's Dealer Management System (DMS) modernization project involves rewriting a legacy RPG / IBM i-based system into a modern Java-based cloud architecture. As the Solution Architect for the POC, you will define the overall system architecture and tech stack.

Key focus areas include understaind the output of legacy RPG code (using tools like PKS eXplain for IBM i code analysis), selecting modern Java and AWS technologies, and integrating AI-assisted migration techniques. The POC (4–5 weeks at 0.5 FTE) will validate a cloud-native, microservices-based solution paving the way for the full implementation.

1. Project description

Modernisation of the Dealership Management System (DMS) which is used by customer dealers worldwide. Rewriting of the legacy system and migration to the new Java-based tech stack.

2. Client description

Scania is a global company specializing in the manufacturing of heavy trucks, buses, and engines. With headquarters in Södertälje, Sweden, Scania is known for its high-quality vehicles and innovative technology. The company is committed to sustainability and actively involved in developing alternative fuels and electric vehicle technology.

Scania operates in markets worldwide and offers diverse career opportunities in engineering, project management, sales, and technical support. It is recognized for its commitment to quality, sustainability, and technological advancement in the automotive industry.

3. Details on tech stack

Core Platform : Java / JVM-based frameworks (Java 17+, Spring Boot / MicroProfile, or similar) for building microservices. Scania's new DMS will be a Java application suite, replacing RPG code

Cloud based microservices (AWS)

Comfortable learning new technologies on the job

Claude 3.7 or 4 Sonnet LLM

AST (abstract syntax tree)

4. Minimum requirements

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.

4. Nice to have requirements to the candidate

Prior involvement in a legacy-to-modern migration (e.g. mainframe or IBM i / AS400 modernisation) 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

Skills Required

Java, S3, Rds, Cloudformation, Dynamodb, Spring Boot, Cl, Rpg, Lambda, Ec2, Db2, Terraform, ECS, Python, Aws