AVP, CL, Production Eng, WRB Tech
Standard CharteredAbout the role
Key Responsibilities
Service stability and incident management
• Ensure maximum service quality and stability through prompt and effective response to technical incidents.
• Act as a catalyst for change by performing incident and problem analysis, identifying root causes, and driving continual service improvement (CSI) initiatives.
• Where relevant, perform a control function to ensure that new technology changes do not introduce instability into the production environment.
Monitoring and observability
• Own and drive the achievement of “north star” monitoring and observability goals.
• Ensure comprehensive monitoring, alerting, and logging are in place for critical services, enabling proactive detection and rapid remediation of issues.
Automation and operational excellence
• Lead the automation of operational tasks such as deployments, monitoring, scaling, and infrastructure management to reduce manual effort and operational risk.
Site Reliability Engineering (SRE) practices
• Participate in and oversee incident response, troubleshooting, and post-incident reviews (post-mortems) to minimise downtime and institutionalise learning from failures.
• Optimise infrastructure, systems, and processes for performance, efficiency, and reliability.
• Contribute to the design and implementation of robust deployment pipelines and release strategies that enable smooth, frequent, and reliable releases (e.g. blue/green, canary).
Change, release, and rollout management
• Review production-related changes, releases, and rollouts with zero or minimal impact to application stability and client experience.
• Review and coordinate dependent changes across surrounding systems, infrastructure, networks, and shared services.
• Ensure thorough technical plans are in place for all production changes, including implementation steps, fallback/rollback strategies, data conversion or migration plans, and validation checks.
Reporting and continuous improvement
• Provide inputs for monthly dashboards and reports, including incident and problem trends, key service metrics, and the status of Service Improvement Plans (SIPs) and Root Cause Analysis (RCA) action items.
• Track and drive closure of remediation actions to prevent recurrence of incidents.
Collaboration, coaching, and knowledge sharing
• Participate in and support cross-training and structured knowledge transfer activities within and across support and engineering teams.
• Promote SRE and production engineering best practices across the chapter and wider organisation, fostering a culture of shared ownership for reliability and operational excellence.
Leverage AI and automation for production engineering
• Use AI-driven tools (e.g. for log analysis, anomaly detection, alert correlation, and capacity forecasting) to proactively identify, diagnose, and resolve production issues.
• Collaborate with engineering and platform teams to integrate AI/ML capabilities into monitoring, incident management, and self-healing workflows (e.g. automated remediation, intelligent runbooks).
• Continuously review and refine AI-enabled alerts, models, and automations based on production behaviour, incident learnings, and feedback from support teams.
• Promote the safe and compliant adoption of AI solutions within production engineering, ensuring adherence to the bank’s risk, security, and data governance standards.
Strategy
• To be accountable to execute the strategy devised for the business unit
Business
• Fully accountable in incident, problem, change, and risk management for production applications/systems, including:
Incident Management
• Owns end-to-end management of all production incidents impacting the application/system, from detection and triage through to resolution and closure.
• Coordinates technical and business stakeholders during incidents to ensure timely communication, clear ownership, and rapid restoration of service.
• Ensures incidents are correctly classified, prioritised, and logged, with accurate d
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