Devops Engineer

Acquire Intelligence; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Harmoney Manila seeks a Platform Engineer to shape our cloud platform on GCP and Kubernetes, owning infrastructure and enabling AI-enabled services. You will work with a small, trusted team to scale reliability, security, and developer productivity across the platform.

You will collaborate with software engineers to improve deployment pipelines, observability, and cost visibility while maintaining SOC2-conscious security and compliant operations in a dynamic environment.

Qualifications

• 3+ years in platform, DevOps, SRE, or cloud infra.
• Hands-on in GCP and Kubernetes (GKE or equivalent).
• Experience upgrading live platforms and incident response.
• Familiar with regulated security environments is a plus.
• Comfort with ambiguity and AI enablement.
• Experience embedding with software engineering teams.
• Infrastructure as code with Terraform.
• Kubernetes and GitOps using GKE, Helm, ArgoCD, and GCP services.
• Observability and incident management with Grafana/Prometheus/Loki.
• Cost and performance optimization.

Responsibilities

• Enable safe AI adoption and cost visibility.
• Deliver platform capabilities and APIs.
• Maintain scalability, upgrades, and security.
• Drive cost efficiency and configuration optimization.
• Improve developer experience and deployment pipelines.
• Strengthen incident and alert management.
• Uphold security and compliance controls.
• Help build the platform engineering practice.

Skills

GCP

Kubernetes

Terraform

GitOps

ArgoCD

Helm

IAM

Monitoring

Incident response

Cost optimization

Tools

Grafana

Prometheus

Loki

GKE

Cloud SQL

Secret Manager

Job description

About the role

Harmoney runs a mature cloud platform on GCP that powers our consumer lending platform. We're now growing our Platform Engineering practice, and you'll be one of the people who shapes it. This is a broad, high-leverage role: you'll operate and evolve a substantial platform while laying the foundations that let the business innovate safely, especially as we adopt AI. You'll work alongside our existing platform team engineers and the Cloud Platform Lead in a small, high-trust, SOC2-conscious team, owning meaningful problems end-to-end and helping define how the practice operates as it matures.

Key responsibilities

• Enable safe AI adoption: Build foundations that allow responsible AI innovation, including vendor discovery, security reviews, AI observability, and cost visibility, while establishing guardrails.

• Deliver platform capabilities: Support initiatives such as API overhaul, governance of customer auth systems, platform operations, and technical debt reduction.

• Maintain scalability and stability: Run platform and infrastructure upgrades, improve security, and develop reusable infrastructure patterns.

• Drive cost efficiency: Improve cost visibility (compute and AI), optimize configurations, and apply cost-saving strategies.

• Improve developer experience: Working closely with software engineers to enhance deployment pipelines, observability, documentation, and change management.

• Strengthen incident and alert management: Improve alerting standards, resolution processes, and metric retention.

• Uphold security and compliance: Maintain IAM, secrets management, and audit/change controls aligned with compliance requirements.

• Help build the practice: Contribute to standards, ADRs, runbooks, and ways of working.

About you

• 3+ years in platform / DevOps / SRE / cloud infrastructure engineering.

• Hands-on experience with a major public cloud (GCP preferred) and Kubernetes (GKE or equivalent).

• Experience maintaining and upgrading live platforms (e.g., version upgrades, capacity tuning, incident response).

• Experience in regulated or security-sensitive environments (e.g., financial services, SOC2/ISO) is a strong advantage.

• Comfortable with ambiguity, especially in emerging areas like AI enablement.

• Experience embedding into software engineering teams, or a demonstrated understanding of what that implies.

• Infrastructure as code: Terraform expertise with reusable patterns.

• Kubernetes & GitOps: GKE, Helm, ArgoCD, and GCP services (IAM, networking, Cloud SQL, Secret Manager).

• Observability & incident management: Tools like Grafana, Prometheus, Loki.

• Cost & performance optimization: Ability to identify savings and optimize workloads.