Senior Cloud Engineer – Google Cloud (GCP)
66degrees
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This role on the market
149 open google roles across 38 companies are on ApplySarthi right now, most of them in Hyderabad (2).
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What google roles keep asking for: Paid media (49%), Google Analytics (36%), GCP (15%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for google roles keep coming back to Paid media, Google Analytics, GCP. Practise those questions before you sit with 66degrees.
Questions you are likely to be asked
- Why do you want to join 66degrees?
- What is your experience with GCP? Tell me one thing you learned the hard way.
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
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Practise the Senior Cloud Engineer – Google Cloud (GCP) at 66degrees interview free →Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
We're looking for a hands-on Cloud Engineer with strong Google Cloud experience to help migrate enterprise applications and infrastructure from on-premises environments to GCP. This role involves building cloud infrastructure, automating deployments, configuring networking and security, and supporting the migration of Windows-based applications and supporting services.
You'll work closely with Cloud Architects, Data Architects, and application teams to build reliable, secure, and repeatable cloud environments.
We're looking for someone who enjoys hands-on engineering, can troubleshoot independently, and is comfortable working through the challenges of migrating existing enterprise workloads.
Location: Remote – United States
Employment Type: Contract for 26 weeks.
Responsibilities
- 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 the 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.
Qualifications
- Experience: 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
Nice to have:
- Experience with Octopus Deploy.
- Experience migrating IIS applications to GCP.
- Familiarity with SQL Server infrastructure hosted on Compute Engine.
- Experience with Redis, RabbitMQ, or MSMQ.
- Experience with Google Cloud Memorystore.
- Familiarity with Cloud Armor, VPC Service Controls, and Cloud KMS.
- Experience with Datadog monitoring.
- Exposure to PCI DSS or other
Please note, we cannot sponsor or transfer any visas, of any kind, at this time.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
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