Cloud Engineer - Sr

Randstad
Richmond, VA, United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$184,184 - $203,840
Working hours
Regular working hours
Job source

Tech stack

Application Performance Management Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration Distributed Systems Identity and Access Management Python (Programming Language) Queueing Systems Data Streaming Google Cloud Data Storage Technologies
+12 more
Delivery Pipeline Multi-Cloud Infrastructure as Code (IaC) Backend Event Driven Architecture Kubernetes Infrastructure Automation Frameworks Apache Kafka Terraform Serverless Computing Docker Microservices

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 Google Cloud Platform 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., We are seeking an experienced Senior Cloud Engineer to design, build, and optimize scalable, highly available, and secure cloud infrastructure. In this role, you will lead the implementation of cloud-native architectures, drive Infrastructure as Code (IaC) initiatives, automate continuous integration and deployment pipelines, and partner with development, security, and operations teams to modernize our platform ecosystems.

Requirements

Kafka,application performance,backend development,cloud infrastructure,cloud networking,data storage,data flow,automation pipelines,distributed systems,Docker,event-driven architectures,Google Cloud Platform (Google Cloud Platform),IAM security,infrastructure automation,Kubernetes,distributed microservices,Azure,Microsoft Azure,multi-cloud,Python,message queues,cloud-native services,Terraform,resilient,Troubleshoot,reliability,automation,infrastructure,Pub/Sub,state management,tooling,workflows

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