Senior GCP Engineer

Mindlance, Inc.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Mindlance, Inc. seeks an experienced cloud infrastructure engineer to design, deploy and manage multi-cloud environments (GCP and Azure). You will implement IaC with Terraform, build resilient backend services in Python or Go, and orchestrate distributed applications using Temporal.

Candidates should have 5+ years hands-on experience, containers with Docker/Kubernetes, and familiarity with CI/CD pipelines. Join a team delivering scalable, reliable cloud solutions across environments.

Qualifications

• Design, deploy, and manage infra and services across GCP and Azure.
• Strong Python or Go backend development for automation and distributed systems.
• Experience with Terraform multi-environment provisioning and state management.
• Develop, orchestrate, and scale distributed applications using Temporal.
• Familiar with containerization and orchestration (Docker, Kubernetes) and CI/CD.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and provide technical guidance across distributed cloud environments.
• Troubleshoot, maintain, and resolve complex issues related to cloud infrastructure and workflow orchestrations.
• Optimize data storage, compute, and processing workloads using cloud-native services across GCP and Azure.
• Design, build, and maintain resilient asynchronous workflows and distributed microservices using Temporal.
• Implement and manage infrastructure as code (IaC) modular frameworks using Terraform to ensure reliable, multi-cloud deployments.

Skills

GCP & Azure multi-cloud

Python/Go backend

Terraform IaC

Temporal workflows

Docker & Kubernetes

Tools

Terraform

Temporal

Docker

Kubernetes

Job description

• Collaborate with cross-functional teams to understand requirements and provide technical guidance across distributed cloud environments.
• Troubleshoot, maintain, and resolve complex issues related to cloud infrastructure and workflow orchestrations.
• Optimize data storage, compute, and processing workloads using cloud-native services across GCP and Azure.
• Design, build, and maintain resilient asynchronous workflows and distributed microservices using Temporal.
• Implement and manage infrastructure as code (IaC) modular frameworks using Terraform to ensure reliable, multi-cloud deployments.
• Monitor, tune, and improve application performance, service reliability, and data flow efficiency.

Required Qualifications:

• Minimum 5+ years of hands-on experience designing, deploying, and managing infrastructure and services across Google Cloud Platform (GCP) and Microsoft Azure.
• Strong proficiency and production experience in Python or Go for backend development, automation, and distributed systems tooling.
• Practical experience using Terraform for multi-environment provisioning, state management, and infrastructure automation.
• Hands-on experience developing, orchestrating, and scaling complex, failure-resilient distributed applications using Temporal.
• Familiarity with modern containerization and orchestration tooling (Docker, Kubernetes) and CI/CD automation pipelines.

Preferred Qualifications:

• Experience with cloud networking, cross-cloud interconnectivity, and IAM security best practices.
• Background in event-driven architectures, message queues (e.g., Pub/Sub, Kafka).

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”