Senior Java Software Engineer

Arrow Electronics
Cairo, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Cairo, United States of America

Tech stack

Clean Code Principles
Java
JavaScript
XML Schema
Artificial Intelligence
AJAX
Aspect-Oriented Programming
Tomcat
Server Applications
JIRA
Build Automation
Unit Testing
Oracle WebLogic Server
Big Data
Configuration Management
Computer Programming
Databases
Continuous Integration
Database Design
Software Debugging
Software Design Patterns
DevOps
Elasticsearch
Glassfish
Design of User Interfaces
Hadoop
HBase
Hibernate
Hive
IBM Websphere Application Server
Java Persistence API
Java Web Services
WildFly (JBoss AS)
JUnit
Maven
MongoDB
MySQL
Node.js
NoSQL
Object-Oriented Software Development
Oracle Applications
Open Web Application Security
Pentaho Data Integration
Systems Development Life Cycle
Search Technologies
Secure Coding
Solr
SQL Databases
Sqoop
Testng
XML
Enterprise Software Applications
Large Language Models
Spring-boot
SOAPAPI
Generative AI
GIT
Build Management
Angular
Kubernetes
Deployment Automation
Kafka
Web Technologies
Docker

Job description

We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices., As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You'll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals., * Design, implement, debug, and deploy Java-based applications across the full SDLC.

  • Collaborate with cross-functional teams to develop robust, maintainable solutions.
  • Contribute to technical design and architectural decisions using modern best practices.
  • Maintain high code quality through unit testing and clean code principles.
  • Support configuration, build automation, deployment, and continuous integration.
  • Mentor junior developers and actively contribute to a culture of technical excellence.
  • Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable.
  • Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making.
  • Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows.

Required Skills

  • Programming & Frameworks:

Java, Spring Boot, Angular, Node.js, OOP, Design Patterns

  • Web Technologies:

JavaScript (Basics, AJAX), REST & SOAP Web Services

  • Database & ORM:

Native SQL, Oracle, MySQL, Database Design, ERD, JPA, Hibernate

  • Search & Messaging:

Apache Solr, Elasticsearch, Kafka

  • Build & Deployment:

Maven, CI/CD, Deployment Automation

  • Testing & Quality:

Unit Testing (Junit, TestNG), TDD, Clean Code Practices

  • Application Servers:

Apache Tomcat, WebLogic, JBoss, WebSphere, GlassFish, OC4J

  • Tools & Configuration:

Git, Configuration Management, JIRA, XML (XSD, DTD)

  • Security

Requirements

Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities

  • Generative AI & Intelligent Automation:
  • Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks.
  • Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications.
  • Understanding of vector databases (eg, Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval.
  • Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance.
  • Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs.

Preferred Skills

  • Big Data & NoSQL: Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase

  • Containers & DevOps: Docker, Kubernetes

  • Other: Security Best Practices, AOP (Aspect-Oriented Programming)

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