Production Support / Site Reliability Engineer- Cloud Native Data Analytics Platform

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 , GCP, 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 apply@sciente.com 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

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