Lead DevOps Engineer - Trading Platform Reliability

Join DevOps; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Join DevOps is seeking a Lead DevOps Engineer in Singapore to drive infrastructure automation, cloud platform engineering and operational resilience for mission-critical Front Office Trading systems.

In this role you will design cloud infrastructure, build and optimise CI/CD pipelines, implement IaC with Terraform, and manage container environments using Docker and Kubernetes across AWS and Azure.

Qualifications

• Extensive DevOps experience with cloud platforms (AWS/Azure).
• Strong expertise in Kubernetes, Docker and IaC tooling.
• Proven ability to design and maintain CI/CD pipelines.
• Knowledge of IAM, security and secrets management.

Responsibilities

• Design and enhance cloud infrastructure and DevOps automation.
• Build, maintain and optimise CI/CD pipelines.
• Develop infrastructure-as-code solutions (Terraform).
• Manage container environments (Docker, Kubernetes).
• Support AWS and/or Azure cloud infrastructure.
• Improve reliability, availability, monitoring and DR.
• Implement observability across logging, metrics, tracing, alerts.
• Support incident management and root-cause analysis.
• Strengthen infrastructure security practices.
• Contribute to cloud cost optimisation and FinOps.
• Collaborate with global engineering, architecture and SRE teams.

Skills

10+ years DevOps

AWS

Azure

Kubernetes

Docker

Terraform

CI/CD pipelines

Observability

Security/IAM

FinOps

Tools

Terraform

Kubernetes

Docker

Prometheus

Grafana

Datadog

OpenTelemetry

Splunk

CI/CD Tools

Cloud Platforms

Job description

Join DevOps is seeking a Lead DevOps Engineer in Singapore to drive infrastructure automation, cloud platform engineering and operational resilience for mission-critical Front Office Trading systems.

In this role you will design cloud infrastructure, build and optimise CI/CD pipelines, implement IaC with Terraform, and manage container environments using Docker and Kubernetes across AWS and Azure.