Senior GCP Cloud Engineer
Location: Remote
Employment Type: Full-Time
Experience: 10+ Years in GCP (5+ years overall cloud/platform engineering preferred)
About Quilo
Quilo is a New York-based FinTech company that builds lending and investment technology platforms for Community Financial Institutions (CFIs), including community banks and credit unions across the United States.
Learn more: https://www.quilo.io
Role Overview
We are seeking a hands-on Senior GCP Cloud Engineer to lead and execute our cloud migration from Microsoft Azure to Google Cloud Platform (GCP) while owning the ongoing management, security, automation, and scalability of the platform.
This role is ideal for someone who has independently built and managed GCP environments and enjoys working in a fast-paced startup environment with end-to-end ownership.
Key Responsibilities
- Lead Azure-to-GCP migration across Development, SIT, and Production environments.
- Design and manage GCP organization structure, projects, IAM, networking, and security controls.
- Provision, manage, and optimize GKE clusters.
- Build and maintain Infrastructure as Code using Terraform.
- Migrate Jenkins pipelines to GitHub Actions.
- Manage HashiCorp Vault, Secret Manager, and Cloud KMS integrations.
- Support MongoDB Atlas migration and GCP networking integration.
- Implement monitoring, logging, observability, and alerting frameworks.
- Manage CI/CD, deployment automation, and GitOps workflows.
- Drive cloud security, compliance, and cost optimization initiatives.
- Create and maintain architecture documentation, runbooks, and operational procedures.
- Act as primary cloud infrastructure owner and incident response lead.
Required Technical Skills
Google Cloud Platform
- GKE (Google Kubernetes Engine)
- VPC, Shared VPC, Cloud NAT, Cloud Router
- Cloud IAM
- Cloud DNS
- Cloud Storage (GCS)
- Artifact Registry
- Cloud KMS
- Secret Manager
- Cloud CDN
- Cloud Armor
- Certificate Manager
- Cloud Logging & Monitoring
- Compute Engine
- Identity-Aware Proxy (IAP)
Infrastructure as Code
- Terraform (Mandatory)
- Modular Terraform development
- State management and migration
Kubernetes & GitOps
- Kubernetes Administration
- Helm
- ArgoCD
- Istio Service Mesh
- Cert-Manager
- RBAC, Network Policies, HPA
CI/CD & Automation
- GitHub Actions
- OIDC Authentication
- Workload Identity Federation
- Deployment approval workflows
Security & Secrets Management
- HashiCorp Vault
- Secret Manager
- Cloud KMS
- Security best practices and compliance controls
Monitoring & Observability
- Prometheus
- Grafana
- Loki
- Cloud Monitoring
- Cloud Logging
Databases & Networking
- MongoDB Atlas
- VPC Peering
- HA VPN / Cloud VPN
- SSL/TLS Management
- Network Segmentation
Nice to Have
- Azure administration experience
- Azure-to-GCP migration projects
- AWS exposure
- Python scripting
- Ansible
- Java / Spring Boot familiarity
- FinTech / Banking domain experience
- PCI-DSS awareness
- GCP Professional Certifications
Education
Bachelor's Degree in:
- Computer Science
- Software Engineering
- Information Technology
- Related Technical Discipline
What We Are Looking For
- Strong ownership mindset
- Ability to independently manage cloud infrastructure
- Excellent troubleshooting and problem-solving skills
- Experience working in startup or lean engineering teams
- Strong communication and documentation skills
Interview Process
Round 1 – Technical Screening (45 Minutes)
Assessment of:
- GCP Fundamentals
- IAM
- Networking
- GKE
- Terraform
- Previous project experience
Round 2 – Technical Deep Dive (45 Minutes)
Assessment of:
- Kubernetes Operations
- CI/CD
- Security
- Monitoring
- Cloud Migration Experience
Round 3 – System Design Assignment (Take-Home)
- 24-hour submission window
- Architecture document with design diagrams and technical decisions
Round 4 – Hands-On Technical Exercise (Take-Home)
- 48-hour submission window
- Infrastructure implementation in a provided GCP environment
- GitHub repository submission required
Round 5 – Final Discussion (60 Minutes)
- Review of design and implementation exercises
- Technical decision-making
- Ownership and cultural fit assessment
Pay: ₹2,302,557.00 - ₹2,986,401.89 per year
Application Question(s):
- What is your notice period in days?
Experience:
- 10 Yr in GCP (5+ in overall cloud/platform eng: 10 years (Required)
Work Location: Remote
