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🔄 Staff Augmentation

DysrupIT is a consulting and "Resource-as-a-Service" firm that provides staff augmentation and IT outsourcing; the roles provided are for client placement or private household support rather than internal corporate functions.

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D
Posted 1mo ago

Full Stack Java Engineer

Dysrupit
View all open roles
Makati City, Makati, Philippines
OnsiteFull Time
Responsibilities
  • developing systems
  • designing apis
  • integrating frontend
Requirements
  • 4+ years software development experience
  • Strong Java (Java 11+) and Spring Boot skills
  • SQL databases
  • JavaScript frontend (React/Angular)
  • Python exposure, and familiarity with cloud-native, Agile, and DevOps practices
Technical tools mentioned
JavaJava 11Spring BootMSSQLPostgreSQLKafkaMQJavaScriptReactAngularHTMLCSSPythonPandasNumPyFastAPIFlaskJSON

Job description

Experience & Competencies:

  • 4–6 years of experience in Software Development
  • Strong foundation in software engineering principles, data structures, and design patterns
  • Experience developing scalable web and distributed systems
  • Strong understanding of Agile and DevOps practices
  • Exposure to cloud-native development and modern engineering practices
  • Ability to contribute to end-to-end delivery (design, development, testing, deployment)
  • Strong problem-solving mindset with ability to learn new technologies quickly
  • Effective communication skills across technical and business stakeholders
  • Interest or experience in data engineering, Python, or AI capabilities


Technical Skills:


Backend & Core Engineering

  • Experience in Java (preferably Java 11 or above)
  • Experience with Spring Boot and REST API development
  • Basic understanding of microservices architecture
  • Experience with SQL and relational databases (MSSQL/PostgreSQL)
  • Familiarity with event-driven systems (e.g., Kafka, MQ) is a plus

Frontend / Full Stack

  • Experience with JavaScript frameworks (React or Angular)
  • Understanding of HTML, CSS, and modern UI development practices
  • Ability to integrate frontend applications with backend APIs

Python & AI Exposure

  • Working knowledge of Python for scripting, data processing, or backend services
  • Familiarity with libraries such as Pandas, NumPy, or FastAPI/Flask
  • Exposure to AI/ML concepts or tools (e.g., basic model usage, APIs, automation use cases)
  • Understanding of working with structured/unstructured data (JSON, text, logs)

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