Lead Software Engineer

Job Description Our platform services engineering team provides reliable cloud and data platform for Keystone AI Software Solutions (Global) division. We are looking for a Staff Engineer for our Platform Services team to help us continuously improve how we build, secure and run our rapidly growing Cloud platform. On platform services team, you will have opportunity to use your expertise in coding, system design thinking and analytical skills to provide shared services, tools and infrastructure for the rest of the product development teams abstracting the underlying stack complexities of Cloud. Job Description Build scalable, high-performance distributed backend systems using Java, Spring Boot, microservices architecture and AWS services. Build clean, maintainable, well-tested, production-quality Java services. Design and implement solutions applying system design patterns that ensure high availability and fault tolerance. Design and implement cloud infrastructure applying AWS best practices (IaC, auto-scaling, resilient architectures). Troubleshoot and resolve complex production issues, ensuring high system reliability. Lead technical designs, architecture reviews and code reviews to maintain engineering excellence for the services owned. Mentor engineers on system design, testing strategies, distributed systems concepts and cloud-native development. Promote cross-team collaboration to agree on dependencies and architectural decisions for the services owned. Champion engineering best practices and foster a culture of continuous improvement. Improve system observability, reliability and performance across distributed environments You will report to the Engineering Manager Proficiency in CI/CD tools (Jenkins, GitLab) Qualifications This is a hybrid role based in Cyberjaya, requiring in-office attendance two days per week, to work remotely on remaining days. Strong expertise in Java, Spring Boot, microservices architecture and distributed systems fundamentals. You are required to have 10+ years of professional experience in backend services, distributed systems or platform engineering. Strong experience in system design, performance engineering, scalability and reliability. Good understanding of AWS cloud services, architecture patterns and cloudnative design principles. Good understanding of cloud security principles and best practices. Solid grasp of CI/CD pipelines, deployment automation and release engineering. Experience with container orchestration and runtime platforms (Kubernetes, EKS/ECS) and serverless patterns (Lambda). Company Description Keystone AI is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Keystone AI invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Our uniqueness is that we celebrate yours. Keystone AI's people first, inclusive and purpose-driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Keystone AI Life on social or explore our Careers Site to understand why. Keystone AI is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Additional Information Our uniqueness is that we truly value yours. Keystone AI Asia Pacific's culture, people, flexibility and environments are key differentiators. We take our people and equal opportunity agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We're an award-winning organisation due to our strong people focus (Great Place To Work, Top Employer and Employer of Choice). Keystone AI Asia Pacific leverages cutting edge data science, inclusion and start-up mindsets to build tomorrow's credit solutions. Innovation is a critical part of Keystone AI's DNA and practices. As is our diverse workforce, which drives our success. Everyone can succeed at Keystone AI, irrespective of their gender, ethnicity, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Find out what its like to work for Keystone AI by clicking here Keystone AI Careers - Creating a better tomorrow together Find out what its like to work for Keystone AI by clicking here