Senior Java Developer (Platform Modernization)
Quick Summary
Design and implement backend services in Java and Spring Boot, from domain model and business logic through persistence and API layers. Analyze legacy Java/Spring code and Oracle PL/SQL,
Re-implementing legacy logic. Working through existing Java/Spring code, Oracle schemas, and PL/SQL, extracting the business rules that actually run the operation, and rebuilding them as clean,
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
Responsibilities
~1 min read- →
Design and implement backend services in Java and Spring Boot, from domain model and business logic through persistence and API layers.
- →
Analyze legacy Java/Spring code and Oracle PL/SQL, and re-implement business logic in the new services, with tests that prove behavioural parity.
- →
Build the PostgreSQL data layer: schema design, JPA/Hibernate mappings, versioned migrations (Flyway / Liquibase), and query performance tuning.
- →
Implement Oracle → PostgreSQL data migration and reconciliation tooling to support parallel run and cutover.
- →
Develop REST APIs (contract-first, OpenAPI) consumed by operational portals and integrated systems.
- →
Implement asynchronous integrations and event flows (e.g. Azure Service Bus, Kafka), including retries, idempotency, and error handling.
- →
Deliver data feeds from the operational platform into Databricks in cooperation with data engineers.
- →
Write automated tests at every level (JUnit, integration tests with Testcontainers, contract tests) and keep the codebase production-ready.
- →
Contribute to CI/CD pipelines, containerization, and deployment to Azure across DEV / TEST / PROD environments.
- →
Build in logging, monitoring, and alerting so the system can be run 24/7; take part in troubleshooting and production readiness ahead of go-live.
- →
Work closely with the Business Analyst / Product Owner on user stories and acceptance criteria, and do code reviews within the team.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 6, 2026
Signal breakdown
Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.