AVP - Site Reliability Engineer

Singapore Exchange Limited; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Singapore Exchange Limited is seeking an experienced Site Reliability Engineer to own the reliability of critical platforms in a complex enterprise environment. You will drive SRE practices, incident response, and continuous improvement across cloud-native systems and monitoring stacks.

The role requires expertise in Kubernetes and IaC, with strong leadership, communication, and stakeholder management to ensure production readiness and fault-tolerant services.

Qualifications

• 5-10+ years in Site Reliability Engineering, Platform Engineering, Cloud Operations, DevOps, or related technical discipline.
• Proven experience defining and managing SLIs, SLOs, error budgets, and reliability governance.
• End-to-End Service Ownership across onboarding, release readiness, production monitoring, incident response, problem management, recovery validation, and continuous improvement.
• Hands-on with observability and monitoring platforms such as Prometheus, Grafana, ELK, CloudWatch, DataDog, Coralogix, or similar.

Responsibilities

• Lead major incident management, problem management, root-causes and post-incident reviews.
• Drive capacity planning, performance engineering, resilience testing, and risk management in high-availability environments.
• Collaborate with engineering, infrastructure, security, product, and business teams to improve reliability.
• Coach engineers and promote reliability culture and continuous improvement initiatives.

Skills

Site Reliability Engineering

Platform Engineering

Cloud Operations

DevOps

Reliability governance

SLI/SLO management

Incident management

Post-incident review

Capacity planning

Performance engineering

Automation

Infra as Code

Python

Kubernetes

EKS

Tools

Terraform

Ansible

Python

Prometheus

Grafana

ELK

CloudWatch

DataDog

Coralogix

Job description

• 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.