Cloud Engineer - Sr

job summary: Randstad Digital is hiring and we’re looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply.

location: Telecommute job type: Contract salary: $88.55 - 98.00 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: 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.

Monitor, tune, and improve application performance, service reliability, and data flow efficiency.

qualifications: 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.

skills: Kafka,application performance,backend development,cloud infrastructure,cloud networking,data storage,data flow,automation pipelines,distributed systems,Docker,event-driven architectures,Google Cloud Platform (GCP),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

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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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.

Monitor, tune, and improve application performance, service reliability, and data flow efficiency.

Kafka,application performance,backend development,cloud infrastructure,cloud networking,data storage,data flow,automation pipelines,distributed systems,Docker,event-driven architectures,Google Cloud Platform (GCP),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