Cloud Platform Engineer Jobs in USA with Visa Sponsorship
Cloud Platform Engineer roles attract strong H-1B visa sponsorship from hyperscalers, fintechs, and enterprise software companies. Most employers require a bachelor's degree in computer science or a related field, and the specialty occupation standard is well-established for this role. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Greetings from Mastech Digital! We currently have an open role Cloud Platform Engineer with one of our clients that I believe may be of interest to you. This is a relationship-driven and urgent requirement, and the client is looking to interview and onboard a candidate as soon as possible. If this role is not a fit for you, I would greatly appreciate any referrals. Please review the role details below and let me know your interest. Please share your updated resume.
ROLE
Job Title: Cloud Platform Engineer
Location: – Remot
Job Type: Contract (Only W2)
Position Summary:
The Senior Cloud Platform Engineer is a hands-on technical role accountable for the performance, availability, security, and scalability of multi-cloud environment across Google Cloud Platform (GCP) and Amazon Web Services (AWS). This modernized position goes beyond pure operations — it demands deep platform expertise paired with strong development instincts, infrastructure automation skills, and a working command of AI-assisted engineering tools. You will work alongside Cloud Architects, Security, and Application teams to enable enterprise workloads, drive platform governance, and accelerate cloud adoption through high-quality automation and engineering discipline.
BASIC QUALIFICATIONS
Multi-Cloud Platform Experience
- 5+ years designing, deploying, and operating workloads in GCP using best practices and industry standards
- 5+ years designing, deploying, and operating workloads in AWS; hands-on experience in both platforms required
- Operate, maintain, and troubleshoot GCP and AWS PaaS and IaaS services in production environments
- GCP: Deep hands-on experience with GCP services:
- GKE, VPC networking, Shared VPC, VPC Service Controls, Private Service Connect (PSC), IAM (including custom roles), Cloud Monitoring, BigQuery, GCS, DataProc, Dataflow, Cloud Functions, API enablement, project administration
- AWS: Deep hands-on experience with AWS services:
- EKS, EC2, EBS, Auto Scaling, VPC, VPC Endpoints, Route 53, Elastic Load Balancing, S3, EFS, Lambda, API Gateway, CloudWatch, CloudTrail, RDS, DynamoDB, ElastiCache, SQS, SNS, IAM, subnets, routing, security groups, VPC peering
Automation, IaC & Development
- 5+ years of hands-on infrastructure automation using Terraform (primary IaC), gcloud CLI, AWS CLI, and Python
- Develop and maintain Python-based scripting, workflow logic, and automation tooling — not just glue scripts
- Implement and maintain GitHub-based CI/CD automation (GitHub Actions / Workflows) aligned with enterprise patterns
- Experience automating infrastructure provisioning, service enablement, and operational runbooks end-to-end
- Ensure all automation complies with organizational guardrails: environment labels, CMEK, subnet/region constraints, and org policies
Cloud Networking
- Deep understanding of cloud networking fundamentals: VPC design, subnets, routing tables, firewalling, peering models, DNS
- Hands-on experience managing and troubleshooting VPC networks, firewall rules, connectivity issues, and PSC provisioning on both GCP and AWS
- Experience with hybrid connectivity patterns (VPN, Interconnect, Direct Connect)
Security & Identity
- 3+ years designing and implementing IAM models on GCP and AWS, including custom roles and least-privilege patterns
- High degree of knowledge in IT security, data protection, encryption (CMEK/CSEK), and compliance frameworks
- Experience with PII/HIPAA regulated environments a strong plus
AI-Assisted Engineering
- Active use of AI-based tools (e.g., MCP / Model Context Protocol, AI CLIs, LLM-assisted coding tools) to accelerate troubleshooting, automation development, and platform operations
- Ability to critically evaluate, validate, and improve AI-generated code and runbooks — not just accept output
- Demonstrated pattern of using AI to reduce toil and increase engineering throughput, not as a novelty
Version Control & DevOps
- Proficient Git and GitHub workflows: branching strategies, pull requests, code reviews, secrets management
- Experience with DevOps practices and CI/CD pipelines in enterprise environments
- Able to interpret, maintain, and improve cloud runbooks, operational playbooks, and process documentation
PREFERRED QUALIFICATIONS
- AWS Solutions Architect Associate or Professional certification
- GCP Associate Cloud Engineer or Professional Cloud Architect certification
- Experience with ServiceNow-based intake or operational ticket workflows
- Experience planning and executing on-premises to cloud migrations (GCP and/or AWS)
- Experience with enterprise-scale cloud governance, organizational policies, and compliance posture management
- Familiarity with enterprise cloud environments and standards
- Vast understanding of cloud-native architectures and when to apply PaaS vs IaaS vs containerized workloads
Education
Bachelor's degree in computer science, Computer Engineering, Information Systems, or a related technical field. Equivalent work experience demonstrating the required technical depth will be considered.
SUCCESS PROFILE
The ideal candidate for this role:
- Operates with an engineering-first mindset — automation is the default, manual work is the exception
- Thrives in a fast-paced, multi-cloud operational environment and owns problems end-to-end
- Brings genuine depth on both GCP and AWS, not surface-level familiarity
- Integrates AI tooling naturally into their workflow to go faster and build better
- Collaborates without friction across Cloud Engineering, Intake, Security, and Platform teams
- Continuously reduces operational overhead through improved automation, documentation, and service supportability
Warm Regards,
Prachi Gupta
INTRODUCTION
Greetings from Mastech Digital! We currently have an open role Cloud Platform Engineer with one of our clients that I believe may be of interest to you. This is a relationship-driven and urgent requirement, and the client is looking to interview and onboard a candidate as soon as possible. If this role is not a fit for you, I would greatly appreciate any referrals. Please review the role details below and let me know your interest. Please share your updated resume.
ROLE
Job Title: Cloud Platform Engineer
Location: – Remot
Job Type: Contract (Only W2)
Position Summary:
The Senior Cloud Platform Engineer is a hands-on technical role accountable for the performance, availability, security, and scalability of multi-cloud environment across Google Cloud Platform (GCP) and Amazon Web Services (AWS). This modernized position goes beyond pure operations — it demands deep platform expertise paired with strong development instincts, infrastructure automation skills, and a working command of AI-assisted engineering tools. You will work alongside Cloud Architects, Security, and Application teams to enable enterprise workloads, drive platform governance, and accelerate cloud adoption through high-quality automation and engineering discipline.
BASIC QUALIFICATIONS
Multi-Cloud Platform Experience
- 5+ years designing, deploying, and operating workloads in GCP using best practices and industry standards
- 5+ years designing, deploying, and operating workloads in AWS; hands-on experience in both platforms required
- Operate, maintain, and troubleshoot GCP and AWS PaaS and IaaS services in production environments
- GCP: Deep hands-on experience with GCP services:
- GKE, VPC networking, Shared VPC, VPC Service Controls, Private Service Connect (PSC), IAM (including custom roles), Cloud Monitoring, BigQuery, GCS, DataProc, Dataflow, Cloud Functions, API enablement, project administration
- AWS: Deep hands-on experience with AWS services:
- EKS, EC2, EBS, Auto Scaling, VPC, VPC Endpoints, Route 53, Elastic Load Balancing, S3, EFS, Lambda, API Gateway, CloudWatch, CloudTrail, RDS, DynamoDB, ElastiCache, SQS, SNS, IAM, subnets, routing, security groups, VPC peering
Automation, IaC & Development
- 5+ years of hands-on infrastructure automation using Terraform (primary IaC), gcloud CLI, AWS CLI, and Python
- Develop and maintain Python-based scripting, workflow logic, and automation tooling — not just glue scripts
- Implement and maintain GitHub-based CI/CD automation (GitHub Actions / Workflows) aligned with enterprise patterns
- Experience automating infrastructure provisioning, service enablement, and operational runbooks end-to-end
- Ensure all automation complies with organizational guardrails: environment labels, CMEK, subnet/region constraints, and org policies
Cloud Networking
- Deep understanding of cloud networking fundamentals: VPC design, subnets, routing tables, firewalling, peering models, DNS
- Hands-on experience managing and troubleshooting VPC networks, firewall rules, connectivity issues, and PSC provisioning on both GCP and AWS
- Experience with hybrid connectivity patterns (VPN, Interconnect, Direct Connect)
Security & Identity
- 3+ years designing and implementing IAM models on GCP and AWS, including custom roles and least-privilege patterns
- High degree of knowledge in IT security, data protection, encryption (CMEK/CSEK), and compliance frameworks
- Experience with PII/HIPAA regulated environments a strong plus
AI-Assisted Engineering
- Active use of AI-based tools (e.g., MCP / Model Context Protocol, AI CLIs, LLM-assisted coding tools) to accelerate troubleshooting, automation development, and platform operations
- Ability to critically evaluate, validate, and improve AI-generated code and runbooks — not just accept output
- Demonstrated pattern of using AI to reduce toil and increase engineering throughput, not as a novelty
Version Control & DevOps
- Proficient Git and GitHub workflows: branching strategies, pull requests, code reviews, secrets management
- Experience with DevOps practices and CI/CD pipelines in enterprise environments
- Able to interpret, maintain, and improve cloud runbooks, operational playbooks, and process documentation
PREFERRED QUALIFICATIONS
- AWS Solutions Architect Associate or Professional certification
- GCP Associate Cloud Engineer or Professional Cloud Architect certification
- Experience with ServiceNow-based intake or operational ticket workflows
- Experience planning and executing on-premises to cloud migrations (GCP and/or AWS)
- Experience with enterprise-scale cloud governance, organizational policies, and compliance posture management
- Familiarity with enterprise cloud environments and standards
- Vast understanding of cloud-native architectures and when to apply PaaS vs IaaS vs containerized workloads
Education
Bachelor's degree in computer science, Computer Engineering, Information Systems, or a related technical field. Equivalent work experience demonstrating the required technical depth will be considered.
SUCCESS PROFILE
The ideal candidate for this role:
- Operates with an engineering-first mindset — automation is the default, manual work is the exception
- Thrives in a fast-paced, multi-cloud operational environment and owns problems end-to-end
- Brings genuine depth on both GCP and AWS, not surface-level familiarity
- Integrates AI tooling naturally into their workflow to go faster and build better
- Collaborates without friction across Cloud Engineering, Intake, Security, and Platform teams
- Continuously reduces operational overhead through improved automation, documentation, and service supportability
Warm Regards,
Prachi Gupta
See all 19,464+ Cloud Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Platform Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Cloud Platform Engineer
Target employers with established cloud infrastructure teams
Companies running AWS, Azure, or GCP at scale file H-1B petitions regularly for platform engineering roles. Large tech firms and cloud-native startups with dedicated infrastructure teams are your most reliable sponsorship candidates.
Certifications strengthen your H-1B petition
AWS Solutions Architect, Google Cloud Professional, or Azure Administrator certifications signal specialized expertise. USCIS adjudicators respond to credentials that reinforce the specialty occupation argument, especially when your degree is in a adjacent field.
Clarify your immigration status before technical rounds
Bring up sponsorship needs after the initial screen but before deep technical interviews. Most cloud platform teams have sponsored before and will confirm sponsorship capacity early, saving everyone time in a multi-stage hiring process.
Distinguish platform engineering from general DevOps on your resume
USCIS scrutinizes job descriptions carefully. Framing your role around Kubernetes orchestration, infrastructure-as-code, or developer platform ownership strengthens the specialty occupation case versus a generalist systems administrator title.
Cap-exempt employers offer a faster path in
Universities, nonprofit research labs, and affiliated entities are exempt from the H-1B lottery. Cloud platform engineers supporting research computing or academic infrastructure can often start faster without waiting for the annual cap cycle.
OPT STEM extension gives you three years to secure sponsorship
Computer science and engineering graduates qualify for the 24-month STEM OPT extension. Combined with your initial 12 months, you have three years to land an H-1B-sponsoring role without needing to win the lottery immediately.
Frequently Asked Questions
Do Cloud Platform Engineer roles qualify as H-1B specialty occupations?
Yes. Cloud Platform Engineer is well-established as a specialty occupation under USCIS standards. The role requires theoretical and practical application of highly specialized knowledge in computer science, information technology, or a closely related field. Employers filing H-1B visa petitions for this title face relatively low RFE rates compared to generalist IT roles, particularly when the job description emphasizes infrastructure architecture, Kubernetes, or cloud-native tooling rather than broad support functions.
What degree do I need for an employer to sponsor my H-1B as a Cloud Platform Engineer?
Most employers require a bachelor's degree or higher in computer science, computer engineering, information systems, or a closely related technical field. Some employers accept degrees in mathematics or electrical engineering when paired with strong platform engineering experience. If your degree is in an unrelated field, three years of qualifying work experience can substitute for each year of missing formal education, though this requires additional documentation in the H-1B petition.
How competitive is the H-1B lottery for Cloud Platform Engineers?
The lottery itself is random, not role-specific. In FY 2025, USCIS received approximately 442,000 registrations for 85,000 slots, resulting in a selection rate around 25%. However, cloud platform engineers working for cap-exempt employers like universities or nonprofit research institutions bypass the lottery entirely. Australian citizens can also sidestep the cap through the E-3 visa, which has never come close to filling its 10,500 annual allocation.
Which types of employers sponsor Cloud Platform Engineers most reliably?
Hyperscalers and cloud-native companies, large financial institutions modernizing infrastructure, and enterprise SaaS companies are the most consistent H-1B sponsors for this role. To find employers actively sponsoring Cloud Platform Engineers, browse Migrate Mate, which surfaces visa-sponsoring companies specifically and filters out roles unlikely to support international candidates.
Can I transfer my H-1B to a new employer if I switch Cloud Platform Engineer jobs?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, without waiting for approval, as long as your previous H-1B was approved and you've maintained valid status. The new employer files a fresh I-129 petition specific to the new role. For Cloud Platform Engineers, the job description at the new company must still meet the specialty occupation standard, which is rarely an issue for this title.
What is the prevailing wage requirement for sponsored Cloud Platform Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.