Data Analytics Platform Governance & Operations Software Engineer III

Role Overview

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Provide technical support for core GBAZ platform components , ensuring reliability, resiliency, and adherence to engineering standards
• Support onboarding activities for new tenants, including environment setup, access governance, configuration validation, and operational readiness
• Partner with engineering teams to analyze platform issues, identify root causes, and implement permanent fixes
• Contribute to platform maturity by enhancing monitoring, automation, and operational tooling
• L3 production support, including off-hours support when needed
• Design and implementation of low-latency, high-availability, and performant applications
• Serve as the Level 3 escalation point for production issues impacting GBAZ tenants and Credit Sync-related workloads
• Lead troubleshooting of complex incidents involving data pipelines, integrated services, and cloud-based components
• Review incident patterns and implement preventative solutions through engineering improvements
• Maintain runbooks, operational procedures, and knowledge base documentation

Requirements

• 10+ years of software development / monitoring experience on large, complex systems
• preferably financial domain
• 5+ years of experience in Data Applications (Oracle, Hadoop)
• Familiarity with operational tools such as AppDynamics, Dynatrace, Splunk, PPM, Jira, or internal equivalents
• Knowledge of monitoring tools, logging frameworks, and incident management processes
• Experience using relational database and SQL skills
• Ability to perform complex root‑cause analysis and drive technical solutions end‑to‑end

Tech Stack

• Cloud
• Hadoop
• Oracle
• Splunk
• SQL

Benefits

• specific requirements for office-based attendance
• opportunities to learn and grow
• inclusive workplace
• support for teammates’ physical, emotional, and financial wellness
• recognition and rewarding performance