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DevOps Engineer

coins Taguig City, Metro Manila, Philippines

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Ghost-risk verdict

Some ghost-posting signals

  • open for 1191 days (90+ without a fill is a strong ghost signal)
  • 167 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

What you'll do

Key Responsibilities

Cloud Infrastructure & IaC: Architect and maintain scalable AWS infrastructure using Terraform and CloudFormation, ensuring "Infrastructure as Code" is the standard for all deployments.

DevSecOps Integration: Implement and automate security controls within the CI/CD pipeline. Ensure our infrastructure meets BSP, ISO 27001, and SoC2 compliance through automated policy enforcement.

Container Orchestration: Manage production-grade Kubernetes (EKS) clusters and Helm charts, focusing on high availability, auto-scaling, and resource optimization.

Security & Observability: Deploy and manage security tools including WAF, SIEM, XDR, and AWS CloudTrail. Proactively monitor for vulnerabilities and infrastructure threats.

Systems Support: Provide robust infrastructure support for mission-critical applications, including data-intensive services and internal risk-monitoring tools.

AI-Driven Automation: Explore and integrate LLM-based tools (e.g., via OpenAI, Bedrock) to automate incident response, optimize scripts, and improve internal engineering productivity.

What you'll need

Requirements & Qualifications

Experience: 5+ years of experience in maintaining high-availability services and supporting distributed cloud infrastructure (Fintech/Crypto experience is a plus).

Technical Stack (Must-Have)

Orchestration: Expert-level knowledge of Kubernetes (EKS) and Helm.

Cloud: Deep proficiency in AWS services (EC2, RDS, S3, IAM).

IaC: Strong production experience with Terraform.

Security Expertise: Proven track record in infrastructure hardening and supporting external audits. A deep understanding of the shared responsibility model in cloud security.

Programming: Proficiency in Python or Java is essential for automation and building custom DevOps tooling.

Middleware: Hands-on experience managing RDS, Redis, and Kafka.

Bonus Points (Nice-to-Have)

AI/LLM Skills: Experience leveraging LLMs to build intelligent DevOps agents or automated alerting systems.

Infrastructure for Data: Experience setting up infrastructure that supports large-scale data processing or risk-engine workloads.

Compliance: Direct experience dealing with central bank-level (e.g., BSP) technical requirements.

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