
Staff SW Engineer (Production Support)
- Singapore
- Permanent
- Full-time
- Work in Risk application support team to provide world-class application support.
- Provide rotation basis 24x7 production support to all Risk suite of applications in the production environment.
- Diagnose and resolve problems in production to meet all service level agreements (SLAs), including possible joint analysis with cross region team
- Develop automation solutions for support automation, scripting needs
- Develop software install plans, define release schedule and content. Implement changes in the production environment. Take full responsibility of the change end-to-end, including plan, communication, engage, execution and follow-up with all required groups e.g. infrastructure, middleware, database etc.
- Develop, update, maintain Production monitoring solutions
- Work with the Cybersecurity team to ensure all security vulnerabilities are remediated within the required timeline.
- Partner with Developers, Test Engineering, Scrum Master / PM, as required.
- Provide strategic technical and functional knowledge to critical Tier 1 Risk application:
- Develop into subject matter expert for (at least one) of the critical Risk applications: Risk Message Processor (RMP), Issuer Fraud Detection (IFD)
- Participate in business project discussion & deployment planning
- Coaching and guiding team members in developing technical skills
- Leverage innovative technologies to build the next generation of Operational Support excellence. Design and deploy automated support solution based on AI, support automation and become a strong advocate for pro-active monitoring.
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
- Preferred degree in Mathematics, Computer Science, or Engineering.
- Strong troubleshooting and problem analysis skills is a MUST.
- Strong understanding of IT infrastructure in Linux server, Storage, Network, Databases for application troubleshooting
- Strong understanding of database concepts, MySQL and/or MSSQL and Cassandra.
- Experience with Splunk, Prometheus, Grafana, ELK, etc., production end-to-end monitoring tools exposure with SRE.
- Experience with Kafka, IBM MQ, and Spring etc., Middleware software.
- Experience with CI/CD pipeline software deployment and automation tools, software build, regression, and defect tracking tools e.g. Git, Jira.
- 5+ years of experience in design and implementation, comfortable in scripting or languages, e.g. Java, C++, Python, Go.
- Experience in Kubernetes, containerization, e.g. Docker, will be added advantage.
- Prior software engineering experience, familiar with software development lifecycle phases, agile framework including SAFe, will be added advantage.
- Energetic individuals keen with AIOps, to modernize operation supports
- Flexible attitude, team player, highly driven individual, ready to work with multiple time zones cross-geographical teams
- Excellent verbal and written communication and attention to detail skills.