Software Engineer (Senior Lead), Taguig

Work address: Taguig City, Metro Manila

Work set-up: Onsite (4 days onsite, 1 day WFH)

Work schedule: 8AM to 5PM

must-have the following skills:

Technical background

• Bachelors degree in computer science, software engineering, or a related field
• With 8+ years of experience, including ownership of complex systems or technical leadership
• Expert-level Java and Spring Boot
• Hands-on experience using and directing AI coding agents (e.g., Kiro, Claude Code, Copilot), with a strong ability to expertly prompt, critically review, and refactor LLM generated outputs for enterprise production environments
• Experience with RESTful API development
• Hands-on experience with AWS or similar cloud platforms
• Experience with microservices architecture and CI/CD pipelines
• Strong understanding of Agile methodologies

nice-to-have qualifications:

• Experience with SAP SuccessFactors or other HCM platforms
• Familiarity with event-driven architecture or middleware integrations
• Exposure to frontend frameworks (e.g., React, SAP UI5)
• Experience integrating AI/ML APIs or automation tools

Duties and responsibilities:

Backend engineering

• Design, develop, and maintain backend services using Java and Spring Boot
• Apply software engineering best practices (SOLID principles, design patterns, clean architecture)
• Leverage AI development tools (e.g., Kiro, Claude Code) to accelerate boilerplate generation, refactoring, and test creation
• Contribute to technical design and architecture decisions

HCM integration

• Lead development of integrations with SAP SuccessFactors and other HR systems
• Build and maintain API-driven solutions (REST/OData) for secure data exchange
• Troubleshoot and resolve complex data and integration issues

Cloud & devops

• Develop and deploy applications on AWS (e.g., EC2, Lambda, S3, DynamoDB)
• Optimize performance, scalability, and cost in cloud environments
• Contribute to CI/CD pipelines and release processes

Quality & governance

• Ensure high code quality through testing, reviews, and adherence to standards
• Critically review, audit, and refine AI-generated code to prevent hallucinations, security vulnerabilities, and technical debt
• Maintain system integrity, including backward compatibility and regression prevention
• Support secure handling of sensitive HR data

Agile delivery

• Direct and collaborate with advanced LLM coding agents to efficiently solve complex engineering problems
• Contribute to AI-enabled product features such as intelligent validation, anomaly detection, or automation
• Integrate AI APIs/tools where applicable to enhance backend capabilities
• Participate in Agile/Scrum ceremonies (planning, estimation, retrospectives)
• Collaborate with cross-functional teams to deliver incremental value
• AI-augmented innovation