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Salary
≈ $18k – $51k per year (Estimated)
Location
In office (Mandaluyong)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
PM Consulting is a Philippine HR consulting and recruitment firm based in Makati, Metro Manila, offering executive search, professional and IT recruitment, recruitment process outsourcing and HR consulting. Active since 2006, it works with more than 100 local and global client companies across many industries, and most of its mandates sit in Metro Manila business districts such as Makati, Pasig, Taguig and Mandaluyong. Its client vacancies span audit and accounting managers, HR business partners, brand and merchandising managers, data and platform engineers, solution architects and B2B sales staff.

Role Overview

A growing technology-driven organization is seeking a Senior Java Developer to strengthen its software engineering team. This role requires deep expertise in Java-based development, particularly within modern frameworks and microservices architectures.

The ideal candidate brings strong experience in cloud environments, distributed systems, database technologies, and emerging AI-driven solutions. Experience in eCommerce environments and customer-facing systems is highly valued. Strong English communication skills are essential for collaboration in a cross-functional, global setting.

Key Responsibilities

  • Design, develop, and maintain high-availability Java applications with a focus on scalability and fault tolerance.
  • Build solutions using Java and the Spring ecosystem, including Spring Cloud, Spring Data, and Spring Security.
  • Architect and implement microservices-based systems.
  • Design, optimize, and maintain NoSQL databases, particularly MongoDB, ensuring performance and reliability.
  • Develop and manage RESTful APIs to enable seamless integration across services and client applications.
  • Implement and maintain messaging and event-streaming solutions using Kafka or similar technologies.
  • Deploy and manage applications in cloud environments such as Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
  • Troubleshoot production issues, perform root cause analysis, and optimize system performance.
  • Contribute to and lead test automation initiatives to maintain high software quality standards.
  • Collaborate with product owners, business stakeholders, and engineering teams to translate functional requirements into scalable technical solutions.
  • Utilize containerization technologies (e.g., Docker) for application packaging and deployment.
  • Integrate AI and large language model (LLM)-powered capabilities into applications, including implementing Retrieval-Augmented Generation (RAG) approaches.
  • Design and optimize data pipelines leveraging vector databases (e.g., Weaviate) to enable semantic search and advanced AI functionality.

Qualifications

Education

  • Bachelor’s degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience.

Experience & Technical Expertise

  • Minimum of 5 years of professional experience in Java development, ideally within an eCommerce or high-transaction environment.
  • Strong proficiency in Java and the Spring Framework (Cloud, Data, Security).
  • Solid experience with Kafka and distributed messaging systems.
  • Hands-on expertise in MongoDB and other NoSQL database technologies.
  • Proven experience designing and maintaining microservices architectures.
  • Demonstrated ability to debug, analyze, and optimize complex distributed systems.
  • Practical experience deploying and managing applications on major cloud platforms (Azure, GCP, or AWS).
  • Strong background in designing and implementing REST APIs.
  • Experience with automated testing frameworks and strategies.
  • Hands-on experience working with large language models (LLMs) and embedding AI features into production systems.
  • Working knowledge of RAG methodologies and vector databases for semantic retrieval use cases.
  • Fluent English communication skills, both written and verbal.
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