Production Support / Site Reliability Engineer- Cloud Native Data Analytics Platform (JD#11280)

Job Summary

We are looking for a proactive and technically strong Production Support / Site Reliability Engineer to join the team supporting the Data Analytics and Reporting Platform. This is a business-critical role combining production support, cloud technology, data analytics, observability, automation, and financial markets knowledge.

Mandatory Skill-set

• Bachelor's or Master's degree in Computer Science, Mathematics, Finance, Engineering, or a related discipline;
• Must have 3-4 years of experience in supporting Google Cloud technologies such as Terraform, BigQuery, Cloud Composer, Dataflow and cloud-native data analytics platforms;
• Understanding of financial markets products, particularly, Rates & Credits, Fixed Income, Repos, Foreign Exchange (FX), Money Markets;
• Experience with SRE principles, service reliability engineering, observability, and operational resilience;
• Experience applying AI or machine learning to IT operations, such as AIOps, intelligent alerting, incident summarization, anomaly detection, or automated root-cause analysis
• Experience with production support, incident management, problem management, and operational processes;
• Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, ELK/Kibana, or equivalent technologies;
• Understanding of CI/CD, automation, DevOps/SRE practices, and iterative software delivery;
• Understanding of ITIL processes and their practical application in a production environment;
• Knowledge of IT risk and security concepts, including SOx controls, vulnerability management, certificates, authentication, and secure communication protocols;
• Strong troubleshooting and analytical skills, with the ability to understand complex systems and identify root causes;
• Experience supporting business-critical platforms during market/trading hours;
• Strong communication and stakeholder-management skills, with the ability to communicate effectively with both technical and non-technical audiences.

Desired Skill-set

• Experience applying AI or machine learning to IT operations, such as AIOps, intelligent alerting, incident summarization, anomaly detection, or automated root-cause analysis;
• Experience developing operational automation using scripting, APIs, or cloud-native services;
• ITIL certification.

Responsibilities

• Provide operational support for the Data Analytics and Reporting platform, ensuring reliable service delivery during Asia trading hours;
• Take ownership of production incidents, coordinating resolution activities and stakeholder communication to minimize business impact;
• Drive effective problem management by identifying recurring issues, implementing preventive measures, and collaborating with the Product Owner to prioritize improvements through the squad backlog;
• Contribute to the continuous enhancement of the platform with a strong focus on reliability, performance, security, and operational excellence;
• Drive automation and AI-assisted operational improvements to enhance platform reliability, efficiency, and observability;
• Support testing, release, and deployment activities to ensure safe and stable delivery of changes into production;
• Maintain and continuously improve operational runbooks, knowledge articles, and user guidance documentation to support platform onboarding;
• You understand the entire stack’s technology on which the application runs and how it fits in the overall chain;
• Collaborate closely with Trading, Risk, Infrastructure teams and other squads to resolve complex issues and continuously improve platform stability and user experience;
• Participate in a shared global standby rotation (typically one week per month), contributing to the reliability and continuity of business-critical services;
• As part of a cross-border Squad work in an Agile/Scrum way, on the backlog prioritized by a Product Owner, and demonstrate your features/stories to other colleagues and the stakeholders

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639