Associate Software Engineer – Java (AI First)

About the role

We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will help build the backend systems that support Precisely’s next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics.

Responsibilities

• Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs
• Contribute to data models, API contracts, and service integrations for MDM workflows
• Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem)
• Use AI-powered tools to accelerate coding, debugging, testing, and design workflows
• Implement clean architecture patterns (controller, service, repository) with strong separation of concerns
• Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring
• Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability
• Debug and optimize performance, scalability, and reliability of backend systems
• Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring
• Participate in Agile ceremonies, code reviews, and CI/CD practices
• Collaborate cross-functionally with frontend, QA, product, and platform teams
• Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms

Requirements

• Bachelor’s degree in computer science or related field
• 1–2 years of experience in software development
• Strong understanding of Java and object-oriented programming
• Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.)
• Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
• Strong problem-solving and communication skills
• Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
• Interest in applying AI to data platforms, APIs, and backend workflows
• Eagerness to adopt AI-assisted development practices as part of daily work

Qualifications

• Experience with Spring Boot, Hibernate, or microservices architecture
• Exposure to cloud platforms (AWS, Azure) and distributed systems
• Basic frontend awareness
• Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration)
• Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing)
• Data mapping patterns and DTO design
• ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance)
• Defensive programming practices (null safety, input validation, guard clauses, failure atomicity)
• Basic knowledge of Python or AI/ML concepts
• Familiarity with CI/CD pipelines and DevOps practices