About the role

The role is responsible for ensuring the reliability, scalability, and resilience of critical products through observability, automation, and incident management. It also involves leading proactive risk reduction and mentoring engineering teams to improve operational efficiency.

What they look for

Site Reliability Engineering Observability Incident Management Automation Cloud Operations Kubernetes Terraform Python Capacity Planning Performance Engineering Resilience Testing Operational Risk Management Agentic AI SLO Management Infrastructure-as-code Stakeholder Management

Requirements

Candidates must have 5-10+ years of experience in SRE or related technical disciplines with expertise in cloud-native platforms and distributed systems. Proficiency in observability tools, automation, and incident response frameworks is essential for this senior leadership position.

Full description

Job Summary

The AVP, Site Reliability Engineering is a senior SRE lead accountable for the reliability, availability, scalability, and resilience of critical products and platforms. The role drives observability, automation, incident readiness, and recovery engineering to improve service performance and reduce operational toil. Working across engineering, infrastructure, and product teams, this role also leads proactive risk reduction, innovation, and continuous improvement through resilience testing, capacity optimisation, and the responsible use of available AI tools within SGX to enhance operational efficiency and decision-making.

Job Responsibilities

Reliability Engineering: Operate services against defined reliability objectives.

Observability: Build and maintain monitoring, logging and telemetry solutions.

Incident Management: Independently manage incident resolution and recovery activities.

SLO / SLA Management: Operate systems against agreed SLOs and service targets.

Automation: Develop automation to reduce operational effort and toil, utilising modern technology including agentic AI.

Performance Engineering: Conduct performance analysis and optimisation.

Capacity & Resilience Planning: Forecast and manage capacity for supported services.

Cloud & Platform Operations: Independently manage cloud operational services.

Operational Risk Management: Ensure operational controls and compliance requirements are met.

Engineering Leadership: Coach other engineers in reliability practices.

Agentic AI for Reliability & Operations: Use agentic AI to accelerate operational workflows such as alert triage, root-cause analysis, runbook execution support, anomaly investigation and post-incident learning, while ensuring all remediation remains validated and controlled.

· Partner with engineering, infrastructure, security, and product teams to embed reliability by design and continuously improve service stability, scalability, and cost efficiency.

Job Requirements

5-10+ years of experience in Site Reliability Engineering, Platform Engineering, Cloud Operations, DevOps, or a related technical discipline, with experience leading reliability initiatives in complex enterprise environments.

Proven experience defining and managing Service Level Indicators (SLIs), Service Level Objectives (SLOs), error budgets, and reliability governance frameworks.

End-to-End Service Ownership to Support the full operational lifecycle of assigned applications and platforms, including onboarding, release readiness, production monitoring, incident response, problem management, recovery validation, and continuous service improvement.

Hands-on expertise with observability and monitoring platforms such as Prometheus, Grafana, ELK, AWS CloudWatch, DataDog, Coralogix, or similar technologies.

Strong experience operating and supporting cloud-native platforms, Kubernetes/EKS environments, and distributed systems at scale.

Proficiency in automation and infrastructure-as-code using tools such as Terraform, Ansible AAP, Python, or equivalent technologies.

Experience leading major incident management, problem management, root-cause analysis, and post-incident review processes.

Demonstrated capability in capacity planning, performance engineering, resilience testing, and operational risk management within high-availability environments.

Strong stakeholder management and communication skills, with the ability to collaborate effectively across engineering, infrastructure, security, product, and business teams.

Experience coaching and mentoring engineers while driving operational excellence, reliability culture, and continuous improvement initiatives.

Preferred Qualifications

Experience or exposure within financial services, financial market infrastructure, exchanges, index calculation platforms, reference data systems, market data services, trading, clearing, settlement, or other highly regulated environments.

Professional certifications in cloud platforms (AWS, Azure, GCP), Kubernetes, Site Reliability Engineering, DevOps, or related disciplines.

Experience implementing AIOps, observability analytics, predictive monitoring, and intelligent automation solutions.

Hands-on experience leveraging AI or agentic AI technologies for alert triage, incident investigation, operational automation, runbook optimisation, and knowledge management.

Exposure to FinOps practices, cloud cost optimisation, and platform engineering operating models.

Familiarity with security, resilience, and regulatory requirements applicable to critical financial systems.

Experience driving large-scale technology transformation, platform modernisation, or cloud adoption initiatives.

Advanced knowledge of software engineering practices, CI/CD pipelines, and reliability-focused architecture patterns.