SGX

AVP, Site Reliability Engineer

SGX Singapore, Singapore

Financial Services · 1,001-5,000 employees

Aug 28
sre Senior (5-10 yrs) Full-time Singapore
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About the role

You will own production reliability by managing SLOs, capacity, and incident response while building automation and tooling to improve system predictability. Additionally, you will integrate AI agents into operational workflows and partner with product engineers to ensure release readiness and production hardening.

What they look for

Site Reliability Engineering DevOps Kubernetes Terraform Go Python CI/CD Observability Infrastructure-as-code Distributed systems Incident response Kafka AI agents Cloud computing GCP Automation

Requirements

Candidates must have 5+ years of experience in DevOps, SRE, or infrastructure engineering with strong programming skills in languages like Go or Python. You must possess deep hands-on experience with Kubernetes, IaC, CI/CD, and modern observability stacks in a cloud environment.

Full description

Job Summary

SGX is hiring DevOps Engineers who treat operations as a software problem. You'll keep production healthy, but more importantly you'll build the automation, tooling, and agentic workflows that make running our systems boring and predictable. This is an engineering role - if your instinct on a recurring issue is to write code that removes it, you'll fit in well.

We operate in a regulated capital-markets environment, so the bar for reliability, security, and operational rigour is high.

Job Responsibilities

  • Own production reliability (SLOs, capacity, incident response, postmortems) and turn every incident into a durable fix in code or automation.
  • Build the platform and tooling that make services easy to deploy, observe, and operate: CI/CD, infrastructure-as-code, observability stacks, runbooks-as-code.
  • Apply AI agentically across operations (triage, root-cause analysis, remediation, change review) and contribute to our internal agentic ecosystem.
  • Design and integrate the systems underneath our services: messaging (e.g. Kafka), orchestration (e.g. Kubernetes), and performance-sensitive infrastructure.
  • Partner with product engineers on release readiness, rollout strategy, and production hardening before things ship.
  • Continuously reduce toil: measure it, attack it with code, and raise the floor on what "easy to maintain" means here.

Job Requirements

  • 5+ years in DevOps, SRE, platform, or infrastructure engineering, with a clear track record of replacing manual work with code
  • Strong programming ability in at least one modern language (e.g. Go, Python, Kotlin, TypeScript, Rust, etc), you write production code, not just glue scripts
  • AI-native ways of working: real experience orchestrating agents for ops workflows, not just using AI for autocomplete
  • Deep hands-on with Kubernetes, IaC (Terraform or equivalent), CI/CD, and modern observability (metrics, logs, traces)
  • Production experience on a major cloud: GCP preferred, AWS acceptable
  • Solid foundations in distributed systems and the failure modes that matter in production
  • Incident-response maturity: calm under pressure, sharp on root cause, disciplined about follow-through
  • Comfort in complex, regulated environments

Nice to Have

  • Familiarity with the FIX protocol or capital-markets domain
  • Experience building internal developer platforms or self-service tooling consumed by other engineers

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