Senior Cloud Engineer – Google Cloud, GCP

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🔥 46 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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66degrees

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

66degrees is a consulting and technology company that specializes in transforming customer experiences and business operations by leveraging innovative cloud, data, and AI solutions. They offer a broad spectrum of services including AI and machine learning, data platform modernization, cloud engineering, and managed solutions. By assisting businesses in modernizing infrastructure and applications, 66degrees enables data-driven decision-making and enhanced productivity. The company focuses on creating AI-powered enterprises and improving stakeholder collaboration and customer engagement across various industries such as retail, financial services, healthcare, and more.

📋 Description

• Build and manage GCP infrastructure using Terraform, including projects, VPCs, subnets, firewall rules, Compute Engine instances, storage, and IAM • Deploy and configure Windows Server virtual machines, including IIS-hosted applications and supporting infrastructure • Automate Windows server configuration, OS hardening, and IIS setup using Ansible • Configure GCP networking components, including Cloud NAT, Cloud Load Balancing, Cloud Armor, and connectivity to on-premises systems • Build and maintain CI/CD pipelines, including application deployments using Octopus Deploy • Support migration of enterprise applications, Windows services, and SQL Server infrastructure to Google Compute Engine • Configure and troubleshoot application connectivity, DNS, firewall rules, and external integrations • Help migrate caching and messaging infrastructure, including Redis, RabbitMQ, and MSMQ • Implement cloud security controls, including IAM, Cloud KMS, encryption, and VPC Service Controls where required • Configure monitoring and logging using GCP-native tools and Datadog • Work with architects and application teams to troubleshoot migration issues, validate infrastructure, and support cutover activities • Document infrastructure configurations, deployment procedures, and operational handover details

🎯 Requirements

• 5+ years in cloud infrastructure or platform engineering, including hands-on GCP experience • 5+ years of experience in cloud infrastructure, DevOps, or platform engineering • Strong hands-on experience with Google Cloud Platform, particularly Compute Engine, VPC networking, IAM, Cloud Storage, Cloud NAT, and Cloud Load Balancing • Strong Terraform experience, including writing reusable modules and managing infrastructure deployments • Experience managing Windows Server environments, particularly Windows Server 2019/2022 and IIS • Experience with Ansible or similar configuration management tools • Good understanding of networking concepts, including DNS, routing, firewalls, VPNs, load balancing, and hybrid connectivity • Experience building or maintaining CI/CD pipelines • Experience migrating applications or infrastructure from on-premises environments to the cloud • Strong troubleshooting skills across infrastructure, networking, and application connectivity • Comfortable working directly with architects, application engineers, and client technical teams • Must be unable to require visa sponsorship or transfer; 66degrees cannot sponsor or transfer any visas • Nice to have: Experience with Octopus Deploy • Nice to have: Experience migrating IIS applications to GCP • Nice to have: Familiarity with SQL Server infrastructure hosted on Compute Engine • Nice to have: Experience with Redis, RabbitMQ, or MSMQ • Nice to have: Experience with Google Cloud Memorystore • Nice to have: Familiarity with Cloud Armor, VPC Service Controls, and Cloud KMS • Nice to have: Experience with Datadog monitoring • Nice to have: Exposure to PCI DSS or other [requirement text truncated]

🏖️ Benefits

• Professional and personal growth support • Equal Opportunity employer • AI-assisted recruitment process with human final hiring decisions

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