
Customer Onboarding Engineer
- Kuala Lumpur
- Permanent
- Full-time
- Collaborate with clients and internal teams to on-board them in our FinTech platform seamlessly and within the agreed schedule.
- Work with automation tools (GitHub, YAML, Helm) to package, deploy, and configure applications in Kubernetes (basic to intermediate knowledge).
- Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.
- Develop and review XML-based configurations and data exchange schemas.
- Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, Architecture Design, and basic networking considerations.
- Advocate and implement best practices for version control, CI/CD pipelines, and deployment patterns.
- Research emerging technologies and proactively identify areas for improvement.
- Provide ongoing support, troubleshooting, and documentation for deployed solutions.
- Hands-on experience using GitHub for version control.
- Familiarity with YAML syntax and Helm charts for application configuration and deployment.
- Working knowledge of Kubernetes (no deep expertise required, but willingness to learn).
- Experience writing shell scripts (e.g., Bash) for automation and troubleshooting.
- Proficiency with SQL for data manipulation, reporting, and basic performance tuning.
- Solid understanding of XML-based configurations and integrations.
- Basic knowledge of SAML, SSO, and similar authentication and security protocols.
- Familiarity with REST APIs and how they fit into broader integration strategies.
- General understanding of networking fundamentals.
- Excellent communication skills for client-facing interactions and the ability to explain complex concepts into clear, actionable guidance.
- Demonstrated ability to manage multiple projects and adapt to shifting priorities.
- Experience with financial crime, AML, KYC, or fraud detection solutions.
- Coding experience in one of the main modern languages: python, java, etc…
- Understanding of DevOps, CI/CD, and cloud automation best practices.
- Certification with any of the major cloud providers: GCP, AWS, Azure.
- Competitive salary and benefits package.
- Flexible hybrid working model.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
- Access to the latest technologies and tools.
- A chance to make a tangible impact on cutting-edge industrial AI solutions.