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Associate Software Engineer

Application ends: October 8, 2026
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Job Overview

  • Date Posted
    July 8, 2026
  • Location
    Remote
  • Expiration date
    October 8, 2026

Job Description

JOB  DETAILS

Requirements
  • Bachelor’s degree in computer science or related field
  • Years of experience: 1–2 years of experience in software development
  • Specific technical or software skills required 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
Desired Qualifications
  • 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

 

 

 

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