Senior DevOps Engineer

MoneySmart Group· Philippines· greenhouse· zverejnené 12. 05. 2026
Povinné:PythonAWSKubernetesCloudFrontendBackendDevOpsCI/CDAISecurityLead

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

AI-first mindset: demonstrated use of AI-assisted engineering tools to improve productivity and quality

Experience in building AI assisted solutions to automate repetitive DevOps workflows

Excellent collaboration and communication skills, partnering across departments, writing clear documentation/runbooks, and mentoring peers

Good to Haves

Experience with CircleCI, Datadog and Scalyr would be a plus

Experience in embedding security tools and controls into CI/CD pipelines, and supporting compliance needs

Bachelor’s degree in Computer Science (or related field) or equivalent practical experience

MoneySmart Culture Values & Tenets

The traits we admire are core intrinsic qualities we look for in someone we want on our team, and we look for people who are Hungry, Humble and Smart. We also expect all our people to uphold the following company values:

Play to win as a team

Solve for the customer

Embrace a personal growth mindset

Step up and own it

Challenge the status quo and deliver outcomes

MoneySmart Group is an equal opportunity employer. Please include only relevant details and avoid unnecessary information (e.g., photos, age) in your job application to assist us in ensuring that the interview process is devoid of bias.