A global fintech company developing innovative technology solutions for the financial services industry. The company works with businesses worldwide to improve digital experiences and help customers make better financial decisions.
About the position
As a Site Reliability Engineer in our Philippines team, you will keep customer-facing SaaS environments on Azure and AWS reliable, secure and scalable during the night shift, giving our global Cloud Ops team follow-the-sun coverage. You will own production health end-to-end (monitoring, incident response, deployments and automation) and help bring AI-driven operations into how we detect, triage and resolve issues. If you breathe technology, love solving hard problems and want to work where cloud reliability meets applied AI.
Responsibilities
- Ensure the availability, performance and scalability of multi-tenant SaaS production environments on Azure (AKS) and AWS (EKS) serving banks
- Act as the primary production operations contact during night-shift hours: monitor, triage and resolve alerts and incidents, and escalat to global teams according to runbooks
- Define, track and improve SLIs/SLOs and error budgets; build and tune observability (metrics, logs, traces, alerting) to catch issues before customers do
- Lead incident response and write blameless postmortems with clear, tracked corrective actions
- Run and improve CI/CD and GitOps deployment pipelines; execute and validate production releases and customer deployments
- Support customers during onboarding to connect and integrate their data into our SaaS platform
- Use AI/LLM tools to speed up troubleshooting, alert triage, log analysis and runbook creation, and contribute to building AI agents for operations (AIOps)
- Maintain runbooks, SOPs and the operations knowledge base, and ensure clean shift handovers to the global team
- Follow security and compliance practices (e.g., SOC 2, PCI DSS) required in a regulated financial-services environment
- Share the on-call rotation, act as an escalation contact, and influence service design and architecture to proactively prevent failures
Requirements
- At least 4 years of hands-on experience in SRE, DevOps, Cloud Operations or Production Engineering, supporting 24/7 production SaaS environments
- Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
- Maintain Infrastructure as Code using Terraform.
- Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
- Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
- Able to work a fixed night-shift schedule on a long-term basis
- Strong troubleshooting and problem-solving skills, including under pressure during live incidents
- Excellent written and spoken English; comfortable working asynchronously with global
- AI skillset: Daily practical use and Understanding of AIOps concepts
- Advantage:
- Building LLM-based agents or integrations for operational workflows (LLM APIs, MCP servers, LangChain or similar)
- Experience in fintech, banking or other regulated environments (SOC 2, PCI DSS)
Advantage:
- Building LLM-based agents or integrations for operational workflows (LLM APIs, MCP servers, LangChain or similar)
- Experience in fintech, banking or other regulated environments (SOC 2, PCI DSS)