Site Reliability Engineer

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4-8 years of experience in SRE, Platform Engineering, or DevOps, with a strong senior IC track record of owning production systems.
• Production-grade expertise with Kubernetes, containers, and cloud platforms (AWS preferred) in distributed-systems environments.
• Hands-on experience defining and operating against SLIs, SLOs, and error budgets, along with leading incident response and blameless postmortems.
• Strong experience with observability tools covering metrics, logging, tracing, dashboards, and alerting, such as Datadog, Prometheus/Grafana, or equivalent platforms.
• Proficient in automation and infrastructure-as-code, using technologies such as Python, Go, Shell, and Terraform.
• Comfortable working with GitOps and CI/CD practices for reliable software and infrastructure delivery.
• Strong understanding of Linux/Unix internals, networking, and cloud-native security fundamentals.
• Strong operational rigor, ownership mindset, and ability to communicate clearly in both written and verbal formats, including during high-pressure incidents.

Requirements

Responsibilities

• Own the end-to-end reliability of Syfe’s production platform, ensuring high availability, performance, and operational stability.
• Work with a Kubernetes-native, multi-region platform across Singapore, Hong Kong, and Sydney, supporting a regulated digital wealth-management product.
• Operate as a senior individual contributor, defining measurable reliability standards and building systems, automation, and processes to maintain them.
• Define and drive SLIs, SLOs, and error budgets across critical services, partnering with product and engineering teams to balance velocity and stability.
• Own the on-call, escalation, and incident-response program, including incident command, blameless postmortems, RCA tracking, and reducing MTTD and MTTR.
• Own the reliability of the AWS EKS-based deployment platform, including GitOps with ArgoCD, Helm-based release configuration, and Infrastructure as Code using Terraform/OpenTofu.
• Ensure deployments are safe, progressive, and reversible, with strong rollout and rollback mechanisms.
• Build and continuously improve the observability stack using tools such as Datadog, Grafana, VictoriaMetrics, and ClickHouse.
• Develop meaningful dashboards, actionable alerts, and monitoring practices while reducing unnecessary alert noise.
• Lead capacity planning, scalability analysis, failure-mode analysis, disaster recovery, and business continuity planning across regions.
• Plan and conduct game days and chaos engineering exercises to validate system resilience and recovery processes.
• Identify operational toil and eliminate it through automation, self-service tooling, and improved engineering practices.
• Strengthen production safety, including deployment guardrails, rollback processes, and secrets management using HashiCorp Vault.
• Partner with engineering teams to improve production readiness and service reliability before systems are deployed to production.
• Drive reliability through hands-on engineering, design reviews, production-readiness reviews, runbooks, and technical documentation.
• Mentor engineers and influence engineering teams to adopt SRE best practices and build a strong culture of production ownership.