Senior Java Developer – Platform Modernization

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Addepto

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Addepto is a company specializing in Artificial Intelligence and Machine Learning solutions tailored for various industries. They offer AI consulting, MLOps consulting, and data engineering services, providing comprehensive AI-driven strategies and applications. Addepto focuses on implementing sophisticated AI technologies such as Generative AI, computer vision, and large language models to solve complex business problems. They cater to industries like finance, aviation, retail, and logistics, among others, enhancing operations and decision-making processes.

📋 Description

• Re-implement legacy logic from existing Java/Spring code, Oracle schemas, and PL/SQL as clean, tested Spring Boot services • Build the new cloud-native platform on Azure with PostgreSQL for operations and Databricks for analytics and reporting • Design and implement Java/Spring Boot backend services across domain, business logic, persistence, and API layers • Analyze legacy code and re-implement business logic with tests proving behavioural parity • Design PostgreSQL schemas, JPA/Hibernate mappings, versioned Flyway/Liquibase migrations, and tune query performance • Implement Oracle-to-PostgreSQL data migration and reconciliation tooling for parallel runs and cutover • Develop contract-first REST APIs using OpenAPI • Implement asynchronous integrations and event flows using technologies such as Azure Service Bus and Kafka, including retries, idempotency, and error handling • Deliver operational-platform data feeds into Databricks in cooperation with data engineers • Write automated unit, integration, Testcontainers, and contract tests • Contribute to CI/CD pipelines, containerization, and Azure deployment across DEV, TEST, and PROD • Implement logging, monitoring, and alerting for 24/7 operations • Participate in troubleshooting and production readiness before go-live • Collaborate with the Business Analyst/Product Owner on user stories and acceptance criteria • Conduct code reviews within the team

🎯 Requirements

• At least 5+ years of commercial experience as a Java backend developer, with hands-on coding as the main activity in recent projects • Strong programming skills in Java 5+, Spring Boot, and the Spring ecosystem • Solid relational database skills in PostgreSQL and Oracle, including SQL, JPA/Hibernate, schema migrations, and performance tuning • Ability to read and understand PL/SQL • Experience working with legacy codebases, including reading, refactoring, and safely migrating existing logic • Experience building REST APIs • Experience with asynchronous, message-driven integrations such as Kafka, Azure Service Bus, RabbitMQ, or IBM MQ • Working knowledge of Azure, including AKS or App Service, Azure Functions, Service Bus, Key Vault, and Entra ID • Containerization experience with Docker/Kubernetes • Strong testing discipline, including unit, integration, and contract testing • Experience with business-critical, high-availability systems where reliability and correctness matter • Experience using AI coding assistants or agentic workflows in day-to-day delivery • Good communication skills in English • EU work eligibility

🏖️ Benefits

• Work in a supportive team of passionate enthusiasts of AI & Big Data • International projects with global enterprises and startups • Flexible work arrangements, including remote work or modern offices and coworking spaces • Career development paths • Knowledge-sharing initiatives • Language classes • Sponsored training and conferences • Access to Databricks and Anthropic training materials and certification programs • Team-building events • Integration budget • Work anniversary, birthday, and milestone celebrations • Medical and sports packages • Eye care • Well-being support services, including psychotherapy and coaching • Full work equipment, including a laptop and other necessary devices • Opportunities to speak at conferences, write for the company blog, or participate in meetups • Dedicated onboarding buddy • Friendly, supportive, and autonomous culture