Senior Cloud Platform Engineer: GCP Migration & Reliability

mxtechnologiesinc; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

mxtechnologiesinc is seeking a senior platform engineer to lead a large-scale migration of production workloads from on-premise data centers to Google Cloud Platform. The role sits at the intersection of cloud-native infrastructure, financial data systems, and high-availability operations.

You will design and operate Kubernetes and GCP architectures for 99.99%+ availability, improve incident triage and recovery time, and lift developer velocity across the engineering organization.

Qualifications

• 10+ years of experience in developer, DevOps, SRE, or cloud engineering roles.
• 5+ years cloud experience with on-premise-to-cloud migrations.
• 5+ years operating Kubernetes and microservices at scale.
• Strong incident triage and debugging under pressure.
• Proficiency with infrastructure-as-code, CI/CD pipelines, and observability tooling.
• Programming in Golang, Ruby, Java, or comparable languages.

Responsibilities

• Lead end-to-end migration of production services from legacy on-premise environments to a public cloud.
• Design and operate production-grade Kubernetes and GCP architectures for high availability.
• Improve incident triage and recovery time with cloud-aware diagnostics and runbooks.
• Reduce developer friction by optimizing platform response times and reliable deployments.
• Embed security and compliance controls into platform abstractions in partnership with security teams.
• Build shared tooling and patterns so teams can operate in the cloud independently.

Skills

Cloud engineering

Kubernetes at scale

Incident triage & debugging

Infrastructure as code

CI/CD pipelines

Observability tooling

Tools

Kubernetes

Terraform

Backstage

Crossplane

Argo

Job description

mxtechnologiesinc is seeking a senior platform engineer to lead a large-scale migration of production workloads from on-premise data centers to Google Cloud Platform. The role sits at the intersection of cloud-native infrastructure, financial data systems, and high-availability operations.

You will design and operate Kubernetes and GCP architectures for 99.99%+ availability, improve incident triage and recovery time, and lift developer velocity across the engineering organization.