DevOps Lead (Platform & Infrastructure Engineering)

Zig by ComfortDelGro; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Zig by ComfortDelGro is seeking a senior DevOps/Platform Engineer to mature and automate our AWS-based infrastructure. You will own EKS clusters, Terraform codebases, and CI/CD pipelines, delivering resilient, scalable platforms.

You will lead upgrades, enforce policy-as-code, and guide a team of engineers, focusing on cost efficiency, security, and observability across multi‑cluster environments. The role requires strong Kubernetes, Terraform, ArgoCD, and Bitbucket Runners expertise, with a

Qualifications

• 7+ years in DevOps/Cloud Ops or SRE; leadership experience.
• Proficient with AWS core services at scale.
• Strong Terraform expertise with multi-workspace and remote state.
• Experience operating production Kubernetes (EKS) and ArgoCD in multi-env.
• Experience with self-hosted CI/CD runners, Bitbucket Runners.
• Scripting in Python/Go/Bash for automation.
• Knowledge of automated security tooling (Trivy, Checkov, OPA).
• CKA or AWS DevOps Engineer – Professional bonus.

Responsibilities

• Maintain and optimize AWS/EKS production clusters with zero-downtime upgrades.
• Upgrade cycles for Terraform/provider versions to reduce debt.
• Optimize cloud spend and improve efficiency across environments.
• Architect platform engineering patterns and self-service portals.
• Own ArgoCD implementation and multi-cluster synchronization.
• Tune container workloads, autoscaling, and security boundaries.
• Manage Bitbucket Runners and Pipelines for CI/CD reliability.
• Maintain full-stack observability (metrics/logs/traces) and SLOs.

Skills

DevOps

Cloud Operations

Site Reliability Engineering

Team leadership

Education

CKA

AWS Certified DevOps Engineer – Professional

Tools

AWS

Terraform

Kubernetes (EKS)

ArgoCD

Bitbucket Runners

Bitbucket Pipelines

Trivy

Checkov

OPA

Karpenter

Job description

• Maintain, refactor, and mature our existing AWS infrastructure and Terraform codebases, ensuring clean remote state management and modular scalability.
• Drive proactive infrastructure upgrade cycles (e.g., AWS service deprecations, EKS platform version updates, and Terraform provider upgrades) to minimize technical debt and security risks.
• Deeply analyze and optimize existing cloud spend—focusing on compute efficiency, storage lifecycles, and cloud-to-cloud/cross-AZ data transfer fees without compromising resilience.
• Architect the transition of current systems toward next-generation platform engineering patterns (e.g., policy-as-code, self-service infrastructure portals) to support long‑term organizational growth.
• Maintain and optimize running production Amazon EKS clusters, managing zero‑downtime upgrades, node group efficiencies, and ingress/egress configurations.
• Own and optimize our ArgoCD implementation, ensuring strict configuration drift detection, clean synchronization policies, and multi‑cluster environment alignment.
• Continuously tune running containerized workloads by refining pod resource requests/limits, autoscaling policies, and cluster security boundaries.
• Manage, secure, and scale our self‑hosted Bitbucket Runners fleet, ensuring high availability, rapid build execution times, and compute cost‑efficiency.
• Maintain and continually optimize existing Bitbucket Pipelines to accelerate build‑and‑test feedback loops for developers while integrating automated compliance and security gates.
• Maintain and enhance full‑stack observability frameworks (metrics, logs, traces) to ensure deep visibility into distributed microservices.
• Monitor system SLAs/SLIs/SLOs, eliminate alerting noise, and act as a senior technical escalation point for critical production incidents, driving comprehensive post‑mortems and preventative remediation.
• Guide, upskill, and mentor DevOps engineers, setting high engineering standards for operational tasks, infrastructure‑as‑code quality, and documentation.
• Collaborate closely with software development leads to understand operational pain points, translating their feedback into long‑term platform roadmap features.
• Use Generative AI and automation to redesign workflows, reduce repetitive work and human error, improve decision quality, and build the team's strategic consulting capability
• Any ad hoc duties as assigned

Job Requirements

• Preferably 7+ years of dedicated experience in DevOps, Cloud Operations, or Site Reliability Engineering, with at least 2+ years leading engineering teams or overseeing complex production infrastructure environments.
• Deep production experience maintaining core AWS environments (VPC, EC2, IAM, S3, RDS, Route53, CloudFront) at scale.
• Strong proficiency in maintaining, refactoring, and upgrading large‑scale Terraform codebases (multi‑workspace, remote state management).
• Hands‑on experience operating production Kubernetes (EKS) and driving continuous delivery using ArgoCD in a live, multi‑environment ecosystem is preferred.
• Proven track record managing and troubleshooting self‑hosted CI/CD runner fleets (specifically Bitbucket Runners) and optimizing delivery pipelines.
• Competency in writing clean, maintainable scripts/tools using Python, Go, or Bash to automate operational runbooks and platform tasks.
• Experience utilizing modern Kubernetes autoscalers like Karpenter for dynamic, cost‑optimized EKS node provisioning.
• Experience integrating automated compliance, dependency scanning, and vulnerability management (e.g., Trivy, Checkov, OPA) into existing runtime environments.
• Certified Kubernetes Administrator (CKA) or AWS Certified DevOps Engineer – Professional will be a plus.