Senior DevOps Engineer
MoneySmart Group
| Company | MoneySmart Group |
| Category | Engineering |
| Location | Philippines |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 12 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
MoneySmart Group is a trusted personal finance platform in Southeast Asia, helping consumers compare and apply for financial products such as loans, insurance, and credit cards. Founded in Singapore in 2009, our mission is to simplify complex financial decisions and empower people to make informed choices with confidence.
We have a diverse, distributed technology team working across APAC, collaborating closely with product, design, data, and business stakeholders. Our engineers build and operate systems that directly support customer journeys, partner integrations, and internal operations, with a strong emphasis on ownership, clarity of thinking, and long-term maintainability.
Mission As a Software Developer at MoneySmart, you will design, build, and maintain end-to-end software solutions that power our consumer-facing products and internal platforms. You will work across backend and frontend systems, collaborate closely with product and design, and take ownership from problem definition through to production delivery.
You are expected to use AI-assisted development tools as part of your daily workflow, while applying strong engineering fundamentals, critical thinking, and judgment to ensure solutions are scalable, secure, and maintainable.
Responsibilities
Own production reliability outcomes for services (availability, scalability, cost-efficiency, and security) from early design through implementation and operations
Architect, deploy, and secure AWS cloud infrastructure following best practices
Lead incident response, RCAs and run post-incident reviews
Build and maintain “everything as code” infrastructure using Terraform/CloudFormation
Operate, scale, and evolve the container platform (Kubernetes/EKS/ECS)
Design, implement, and continuously improve CI/CD pipelines to enable fast, safe, and repeatable releases
Integrate security tools, practices, and controls into CI/CD and DevOps workflows including container image scanning, runtime security controls, IAM best practices, and secure secret management
Continuously assess and reduce cloud security risks through automated guardrails, compliance enforcement, and monitoring
Establish and mature observability practices (metrics, logs, traces, dashboards, alerting) to improve system visibility and reduce incident resolution time
Drive automation to eliminate operational toil across infrastructure provisioning, deployments, monitoring, access management, and routine maintenance tasks
Promote an AI-first engineering culture by leveraging AI-assisted tooling to accelerate scripting, documentation, troubleshooting, and operational analysis
Design and prototype agentic solutions for automating repetitive DevOps workflows
Mentor peers, define platform standards, and raise the engineering bar to improve consistency, resilience, and knowledge sharing across teams
Requirements
Must Haves
4+ years of experience in DevOps/Platform Engineering, including proven ownership of production services and operational outcomes
Strong AWS expertise, including cloud networking fundamentals; ability to design and operate scalable, resilient cloud infrastructures
Strong understanding of cloud infrastructure security principles, including network security, IAM design, encryption, and secure architecture patterns
Deep hands-on experience with Kubernetes at production scale (EKS strongly preferred), including cluster operations, workload scaling, troubleshooting, and lifecycle management
Strong CI/CD engineering skills across modern systems, with a track record of improving delivery reliability and speed
Proficiency in Infrastructure as Code using Terraform
Scripting-level proficiency in Python and comfort with Bash/shell for automation and operational tooling
Strong observability skills: ability to build operational insight across metrics/logs/traces, and to tune alerting for actionability
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