Associate Software Engineer

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Posted 2mo ago

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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
Use AI-powered tools to accelerate coding, debugging, testing, and design workflows
Implement clean architecture patterns with strong separation of concerns
Implement structured logging and observability patterns
Write high-quality unit and integration tests
Debug and optimize performance, scalability, and reliability of backend systems
Apply observability best practices 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

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
Familiarity with async/reactive patterns
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

Skills