Reliability Engineer and Ops Lead - Data Platform

What you'll do

• Designs, develops, troubleshoots, reviews, and debugs production code.
• Identifies ways to automate recurring remediation and improve application and system stability.
• Leads adoption of AI-assisted engineering tools and validation practices, and evaluates external and internal technical solutions.

What they ask for

• Formal software engineering training or certification, with experience requirements varying by region: 5+ years applied experience for NAMR/APAC–India/LATAM/Hong Kong; advanced applied experience for EMEA/LATAM–Brazil; Singapore follows local country guidance.
• Hands-on experience in system design, application development, testing, and operational stability; advanced in one or more programming languages.
• Experience leading approved AI-assisted software development tools and validating outputs for correctness, performance, and security; understanding of responsible AI use and safe, compliant adoption.
• Proficiency across the Software Development Life Cycle; advanced understanding of agile methodologies, CI/CD, application resiliency, and security; financial-services IT knowledge and practical cloud-native experience.

Pay

USD 156,750.00-$215,000.00 base salary

Tools

CI/CD

AI focus

Leads team adoption of approved AI-assisted coding, code review/refactoring, testing, troubleshooting, and incident/root-cause analysis practices, with standards for validating outputs and responsible handling of sensitive data.