Senior Lead Software Engineer

Key Responsibilities

1. 1) Backend Engineering

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

2. 2) HCM Integration

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

3. 3) Cloud & DevOps

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

4. 4) Quality & Governance

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

5. 5) Agile Delivery

   1. ● Participate in Agile/Scrum ceremonies (planning, estimation, retrospectives)
   2. ● Collaborate with cross-functional teams to deliver incremental value

6. 6) AI-Augmented Innovation

   1. ● Direct and collaborate with advanced LLM coding agents to efficiently solve complex engineering problems.
   2. ● Contribute to AI-enabled product features such as intelligent validation, anomaly detection, or automation.
   3. ● Integrate AI APIs/tools where applicable to enhance backend capabilities.

Key Qualifications

• 1) Backend Engineering Expertise: Ability to design and build scalable, maintainable backend systems using modern Java frameworks and architectural best practices.
• 2) AI-Augmented Development Proficiency: Demonstrated experience using, directing, and critically reviewing outputs from AI coding assistants and LLMs to increase engineering throughput without compromising enterprise quality or security.
• 3) Enterprise Integration Capability: Strong understanding of system integration patterns, API design, and data synchronization across complex platforms.
• 4) Cloud & Platform Engineering: Ability to design and operate applications in cloud environments with a focus on scalability, reliability, and cost efficiency.
• 5) Systems Thinking & Problem Solving: Capability to diagnose and resolve complex system, data, and performance issues across distributed architectures.
• 6) Business & Technical Alignment: Ability to translate business requirements (particularly HR processes) into effective and scalable technical solutions.

Must Have

• ● Bachelor’s 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