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DevOps Engineer

MoneySmart Group•Singapore
Full-timeMid Level
S$1,440 - S$2,160/month
👁️ 0 views•📝 0 applications•Posted 11/4/2026•Expires 12/4/2026
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Job Description

We are looking for a Senior DevOps / Platform Engineer to own and improve the reliability, scalability, security, and efficiency of our production infrastructure. You will work across AWS, Kubernetes, CI/CD, Infrastructure as Code, observability, and cloud security while driving automation and AI-assisted solutions to reduce operational toil. This role is ideal for an engineer who enjoys owning production systems end-to-end, solving complex infrastructure challenges, and building scalable platforms that enable engineering teams to deliver software quickly and reliably. Responsibilities • Own production reliability outcomes across availability, scalability, cost-efficiency, and security, from system design through implementation and ongoing operations. • Architect, deploy, and operate secure, scalable AWS cloud infrastructure following industry best practices. • Operate, scale, and evolve container platforms including Kubernetes, Amazon EKS, and ECS. • Manage Kubernetes clusters at production scale, including workload scaling, troubleshooting, upgrades, lifecycle management, and performance optimization. • Design, implement, and continuously improve CI/CD pipelines to enable fast, secure, reliable, and repeatable software releases. • Build and maintain Infrastructure as Code (IaC) using Terraform and CloudFormation. • Integrate security practices and controls into DevOps workflows, including container image scanning, runtime security, IAM best practices, and secure secret management. • Continuously identify and reduce cloud security risks through automated guardrails, compliance controls, monitoring, and secure architecture patterns. • Establish and mature observability across metrics, logs, traces, dashboards, and alerting to improve system visibility and reduce incident resolution time. • Lead production incident response, root-cause analysis (RCA), and post-incident reviews, driving preventative improvements. • Automate infrastructure provisioning, deployments, monitoring, access management, maintenance, and other repetitive operational tasks. • Leverage AI-assisted engineering tools to accelerate scripting, documentation, troubleshooting, operational analysis, and engineering productivity. • Design and prototype AI/agentic solutions that automate repetitive DevOps and platform engineering workflows. • Develop clear technical documentation, runbooks, platform standards, and operational procedures. • Collaborate closely with engineering, security, product, and other teams to improve platform reliability and delivery efficiency. • Mentor engineers and promote best practices around DevOps, platform engineering, security, automation, and operational excellence. Requirements • 4+ years of experience in DevOps, SRE, or Platform Engineering, with proven ownership of production services and operational outcomes. • Strong hands-on expertise with AWS, including cloud networking fundamentals and designing/operating scalable, resilient cloud infrastructure. • Strong understanding of cloud infrastructure security, including network security, IAM design, encryption, secrets management, and secure architecture patterns. • Deep hands-on experience with Kubernetes in production environments; Amazon EKS experience is strongly preferred. • Strong understanding of Kubernetes cluster operations, workload scaling, troubleshooting, upgrades, and lifecycle management. • Strong CI/CD engineering experience with a track record of improving deployment reliability, automation, and release velocity. • Proficiency in Terraform and Infrastructure as Code practices. • Scripting-level proficiency in Python and strong working knowledge of Bash/Shell for automation and operational tooling. • Strong observability experience across metrics, logs, and traces, with the ability to build actionable dashboards and tune alerts effectively. • Demonstrated AI-first mindset, including practical use of AI-assisted engineering tools to improve productivity and quality. • Experience building AI-assisted or agentic solutions to automate repetitive DevOps/platform workflows. • Excellent communication and collaboration skills, with the ability to work effectively across engineering and other departments. • Ability to write clear technical documentation, runbooks, and operational procedures and mentor peers. #J-18808-Ljbffr

Required Skills

AWSCI/CDDevOpsDocumentationKubernetesPrototypingPythonTerraform

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