Senior Engineering Lead - Cloud, AI & Microservices

R Systems

Singapore

On-site

SGD 180,000 - 260,000

Full time

6 days ago
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Job summary

R Systems is seeking a seasoned software engineering lead to drive design and delivery of scalable microservices on AWS. The role requires 7+ years of experience, proficiency in Java/Spring and modern frontend frameworks, and strong leadership skills to guide cross-functional teams through architecture decisions, code reviews, and performance tuning.

The ideal candidate will understand regulatory considerations in insurance, implement robust CI/CD pipelines with Terraform/CloudFormation, and

Qualifications

  • 7+ years of professional software engineering experience, with 2–4+ years in a technical lead or senior role.
  • Proficient in at least one backend or frontend language (Java 8+; Spring Boot; Angular/React).
  • Strong system design skills for scalable, distributed systems (microservices, event-driven).
  • Experience in insurance domain and familiarity with payments, security, and regulatory requirements.
  • Experience with AI-assisted development tools (GitHub Copilot Agent mode) for rapid prototyping.
  • Hands-on experience with cloud platforms (AWS) and containerization (Docker).
  • Experience with CI/CD tooling (Jenkins, GitHub Actions) and IaC (Terraform, CloudFormation).
  • Solid understanding of databases (SQL/NoSQL), caching, and messaging systems.
  • Familiarity with testing strategies, observability (logs/metrics/tracing), and debugging.

Skills

Software engineering
System design
Full-stack development
Communication
Leadership experience
Problem solving
Observability

Tools

AWS
Docker
Terraform
CloudFormation
Jenkins
GitHub Actions

Job description

R Systems is seeking a seasoned software engineering lead to drive design and delivery of scalable microservices on AWS. The role requires 7+ years of experience, proficiency in Java/Spring and modern frontend frameworks, and strong leadership skills to guide cross-functional teams through architecture decisions, code reviews, and performance tuning.

The ideal candidate will understand regulatory considerations in insurance, implement robust CI/CD pipelines with Terraform/CloudFormation, and

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