Associate Software Engineer – Java (AI First)

Precisely is the leader in data integrity, empowering businesses to make confident decisions based on trusted data. The Associate Software Engineer will help build backend systems for the Master Data Management product line, utilizing Java and AI tools to develop scalable, reliable applications.

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
• Java
• Strong understanding of Java and object-oriented programming
• Understanding of API design and application architecture
• 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
• Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management
• Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows)
• Strong problem-solving and communication skills
• Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
• Ability to evaluate and validate AI-generated code for correctness and performance
• Interest in applying AI to data platforms, APIs, and backend workflows
• Eagerness to adopt AI-assisted development practices as part of daily work
• Experience with Spring Boot, Hibernate, or microservices architecture
• Exposure to cloud platforms (AWS, Azure) and distributed systems
• Database knowledge (SQL/NoSQL)
• Understanding of data platforms, MDM concepts, or data integration pipelines
• 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