Green Card Platform Engineer Jobs
Platform Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires employers to document recruiting efforts before filing. Infrastructure and cloud platform work consistently meets specialty occupation standards, making PERM-based sponsorship a realistic path for qualified foreign professionals.
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Get Access To All JobsWe are looking for a Staff Platform Engineer – AI, Cloud & DevOps
Must live within 60 miles of the following locations:
- Draper, UT - 12921 Vista Station Blvd, Suite 100
- Columbus, OH - 3095 Loyalty Circle
- Plano, TX - 7500 Dallas Parkway, Suite 700
- Chadds Ford, PA - 5 Hillman Drive, Suite 102
- Wilmington, DE - One Righter Parkway, Suite 100
- NYC (Manhattan) - 156 5th Avenue, Floor 2
Hybrid: 1-2 TIMES PER WEEK
Interview Process: 2 ROUNDS OF INTERVIEWS: 1ST ROUND: TECHNICAL, 2ND ROUND: DESIGN/ARCHITECT SOLUTION
Hire Type: Contract to Hire
Job Description Below:
Staff Platform Engineer
Description
The Staff Platform Engineer drives the strategy, architecture, and evolution of enterprise platform engineering capabilities that enable scalable, secure, and efficient software delivery. This role leads the design of platform products, intelligent automation solutions, self-service capabilities, shared services, and cloud-native engineering ecosystems that improve developer productivity and operational excellence at scale. Working across engineering, architecture, security, product, and technology leadership teams, the Staff Platform Engineer establishes platform standards, accelerates adoption of modern engineering practices, and advances organizational maturity across the AI-Driven Development Lifecycle (AIDLC). This role specializes in SDLC automation and intelligent engineering, defining the strategic direction for reusable platform products, shared services, frameworks, and self-service capabilities. Engineers drive enterprise adoption of platform engineering, automation-first practices, AI-powered solutions, and agentic workflows to improve software delivery efficiency, operational resilience, developer productivity, and organizational scalability across the AIDLC.
ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COPY TO PROVIDE):
1. AWS Cloud Practitioner
2. Microsoft Azure Fundamentals
3. Google Cloud - Cloud Digital Leader
Minimum Qualifications
- Bachelor’s degree in information technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics or related field of study or equivalent, relevant work experience
- 8-10 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related technical disciplines. Proven experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms and relevant experience working across areas of the Platform engineering.
- Demonstrated experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.
- Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.
Preferred Qualifications
- Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.
- Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.
- Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies are preferred.
Skills
- Enterprise Platform Engineering Strategy & Architecture
- Platform Products, Shared Services & Engineering Ecosystems
- Platform Governance, Standards & Reference Architectures
- Developer Experience (DevEx) & Self-Service Platforms
- Intelligent Automation & AIDLC Transformation
- AI-Powered Engineering & Agentic Systems
- AI Agents, Agent Orchestration & Autonomous Workflows
- Cloud-Native Architecture & Platform Modernization
- DevOps, CI/CD & Engineering Productivity Platforms
- Site Reliability Engineering (SRE) & Operational Excellence
- Monitoring, Observability & Platform Intelligence
- Security, Governance, Compliance & Engineering Controls
- LLM Workflows, Prompt Engineering & Context Engineering
- MCP, RAG, Enterprise AI Platforms & AI Integration
- Technical Strategy, Cross-Functional Leadership & Influence
Essential Job Functions
Platform Engineering & Platform Capabilities:
- Define the strategic direction and roadmap for platform engineering capabilities.
- Lead architecture and design of enterprise platforms, products, and shared services.
- Establish platform standards, reference architectures, and reusable patterns.
- Drive platform modernization and cloud-native adoption.
- Oversee reusable APIs, SDKs, frameworks, and self-service capabilities.
- Align platform investments with business goals to improve scalability and developer productivity.
Intelligent Automation, AI-Enabled Engineering:
- Define enterprise automation strategies that accelerate the AI-Driven Development Lifecycle.
- Lead development of intelligent automation platforms, AI-powered capabilities, and autonomous workflows.
- Establish standards and governance for automation-first engineering practices.
- Drive adoption of AI agents and agentic workflows across engineering organizations.
- Improve productivity through automation, orchestration, and AI technologies.
- Partner with engineering and architecture leaders to scale automation enterprise-wide.
AI Engineering & Agent Platforms:
- Define the vision for AI-enabled engineering platforms and agent ecosystems.
- Lead adoption of LLMs, agent orchestration frameworks, MCP, RAG, and emerging AI technologies.
- Establish standards and patterns for scalable AI-powered solutions.
- Evaluate emerging technologies and provide strategic recommendations.
- Guide intelligent developer experiences and autonomous engineering capabilities.
- Promote readiness for AI-native engineering practices.
Developer Experience & Self-Service Engineering:
- Define and drive the vision for developer experience across engineering platforms.
- Lead design of self-service ecosystems that improve speed, consistency, and autonomy.
- Establish standards for onboarding, development, testing, deployment, and support.
- Sponsor reusable accelerators, templates, and platform capabilities.
- Drive platform adoption through enablement, advocacy, and feedback.
- Champion a developer-first culture across engineering organizations.
Platform Operations, Reliability & Delivery Enablement:
- Define strategies for platform reliability, resilience, scalability, and performance.
- Lead delivery enablement, CI/CD platforms, observability, and operational intelligence capabilities.
- Establish standards for IaC, deployment automation, and cloud operations.
- Drive monitoring, anomaly detection, automated remediation, and intelligent workflows.
- Use metrics and platform intelligence to improve delivery and operations.
- Guide teams in reliability engineering and operational maturity.
Security, Governance & Engineering Controls:
- Define platform-wide governance, security, compliance, and risk management strategies.
- Establish enterprise guardrails, policy frameworks, and secure-by-design principles.
- Drive automated compliance, governance, and security capabilities across platform ecosystems.
- Partner with security, risk, architecture, and compliance stakeholders.
- Enable engineering agility through scalable governance frameworks and policy automation.
- Improve security posture through platform-driven controls and automation.
We are looking for a Staff Platform Engineer – AI, Cloud & DevOps
Must live within 60 miles of the following locations:
- Draper, UT - 12921 Vista Station Blvd, Suite 100
- Columbus, OH - 3095 Loyalty Circle
- Plano, TX - 7500 Dallas Parkway, Suite 700
- Chadds Ford, PA - 5 Hillman Drive, Suite 102
- Wilmington, DE - One Righter Parkway, Suite 100
- NYC (Manhattan) - 156 5th Avenue, Floor 2
Hybrid: 1-2 TIMES PER WEEK
Interview Process: 2 ROUNDS OF INTERVIEWS: 1ST ROUND: TECHNICAL, 2ND ROUND: DESIGN/ARCHITECT SOLUTION
Hire Type: Contract to Hire
Job Description Below:
Staff Platform Engineer
Description
The Staff Platform Engineer drives the strategy, architecture, and evolution of enterprise platform engineering capabilities that enable scalable, secure, and efficient software delivery. This role leads the design of platform products, intelligent automation solutions, self-service capabilities, shared services, and cloud-native engineering ecosystems that improve developer productivity and operational excellence at scale. Working across engineering, architecture, security, product, and technology leadership teams, the Staff Platform Engineer establishes platform standards, accelerates adoption of modern engineering practices, and advances organizational maturity across the AI-Driven Development Lifecycle (AIDLC). This role specializes in SDLC automation and intelligent engineering, defining the strategic direction for reusable platform products, shared services, frameworks, and self-service capabilities. Engineers drive enterprise adoption of platform engineering, automation-first practices, AI-powered solutions, and agentic workflows to improve software delivery efficiency, operational resilience, developer productivity, and organizational scalability across the AIDLC.
ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COPY TO PROVIDE):
1. AWS Cloud Practitioner
2. Microsoft Azure Fundamentals
3. Google Cloud - Cloud Digital Leader
Minimum Qualifications
- Bachelor’s degree in information technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics or related field of study or equivalent, relevant work experience
- 8-10 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related technical disciplines. Proven experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms and relevant experience working across areas of the Platform engineering.
- Demonstrated experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.
- Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.
Preferred Qualifications
- Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.
- Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.
- Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies are preferred.
Skills
- Enterprise Platform Engineering Strategy & Architecture
- Platform Products, Shared Services & Engineering Ecosystems
- Platform Governance, Standards & Reference Architectures
- Developer Experience (DevEx) & Self-Service Platforms
- Intelligent Automation & AIDLC Transformation
- AI-Powered Engineering & Agentic Systems
- AI Agents, Agent Orchestration & Autonomous Workflows
- Cloud-Native Architecture & Platform Modernization
- DevOps, CI/CD & Engineering Productivity Platforms
- Site Reliability Engineering (SRE) & Operational Excellence
- Monitoring, Observability & Platform Intelligence
- Security, Governance, Compliance & Engineering Controls
- LLM Workflows, Prompt Engineering & Context Engineering
- MCP, RAG, Enterprise AI Platforms & AI Integration
- Technical Strategy, Cross-Functional Leadership & Influence
Essential Job Functions
Platform Engineering & Platform Capabilities:
- Define the strategic direction and roadmap for platform engineering capabilities.
- Lead architecture and design of enterprise platforms, products, and shared services.
- Establish platform standards, reference architectures, and reusable patterns.
- Drive platform modernization and cloud-native adoption.
- Oversee reusable APIs, SDKs, frameworks, and self-service capabilities.
- Align platform investments with business goals to improve scalability and developer productivity.
Intelligent Automation, AI-Enabled Engineering:
- Define enterprise automation strategies that accelerate the AI-Driven Development Lifecycle.
- Lead development of intelligent automation platforms, AI-powered capabilities, and autonomous workflows.
- Establish standards and governance for automation-first engineering practices.
- Drive adoption of AI agents and agentic workflows across engineering organizations.
- Improve productivity through automation, orchestration, and AI technologies.
- Partner with engineering and architecture leaders to scale automation enterprise-wide.
AI Engineering & Agent Platforms:
- Define the vision for AI-enabled engineering platforms and agent ecosystems.
- Lead adoption of LLMs, agent orchestration frameworks, MCP, RAG, and emerging AI technologies.
- Establish standards and patterns for scalable AI-powered solutions.
- Evaluate emerging technologies and provide strategic recommendations.
- Guide intelligent developer experiences and autonomous engineering capabilities.
- Promote readiness for AI-native engineering practices.
Developer Experience & Self-Service Engineering:
- Define and drive the vision for developer experience across engineering platforms.
- Lead design of self-service ecosystems that improve speed, consistency, and autonomy.
- Establish standards for onboarding, development, testing, deployment, and support.
- Sponsor reusable accelerators, templates, and platform capabilities.
- Drive platform adoption through enablement, advocacy, and feedback.
- Champion a developer-first culture across engineering organizations.
Platform Operations, Reliability & Delivery Enablement:
- Define strategies for platform reliability, resilience, scalability, and performance.
- Lead delivery enablement, CI/CD platforms, observability, and operational intelligence capabilities.
- Establish standards for IaC, deployment automation, and cloud operations.
- Drive monitoring, anomaly detection, automated remediation, and intelligent workflows.
- Use metrics and platform intelligence to improve delivery and operations.
- Guide teams in reliability engineering and operational maturity.
Security, Governance & Engineering Controls:
- Define platform-wide governance, security, compliance, and risk management strategies.
- Establish enterprise guardrails, policy frameworks, and secure-by-design principles.
- Drive automated compliance, governance, and security capabilities across platform ecosystems.
- Partner with security, risk, architecture, and compliance stakeholders.
- Enable engineering agility through scalable governance frameworks and policy automation.
- Improve security posture through platform-driven controls and automation.
See all 2,302+ Green Card Platform Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Platform Engineer
Document your platform infrastructure credentials early
Gather certifications, architecture diagrams, and performance metrics that demonstrate specialized platform work. USCIS scrutinizes whether your role requires a bachelor's degree in a specific technical field, so evidence of depth matters more than breadth.
Target employers with active PERM filing history
Use the OFLC Wage Search to identify companies that have filed PERM applications for Platform Engineer or Site Reliability Engineer job codes. Repeat filers have established legal workflows, which means faster sponsorship timelines and fewer process surprises for you.
Search green card sponsoring jobs on Migrate Mate
Migrate Mate filters Platform Engineer roles by green card sponsorship history, so you can skip employers who have never filed PERM and focus your applications on companies already familiar with EB-2 and EB-3 pathways.
Understand how your job duties define the EB tier
EB-2 requires a position demanding an advanced degree or equivalent. If your Platform Engineer role is titled senior or staff level and involves architectural decision-making, your employer may be able to justify an EB-2 filing rather than defaulting to EB-3.
Request a PERM timeline commitment before accepting offers
Ask prospective employers when they plan to start the PERM process after onboarding. DOL prevailing wage determinations alone can take several months, so understanding the employer's internal process protects you from indefinite delays after you've already joined.
Use O*NET to align your resume with DOL job descriptions
PERM filings must match the O*NET occupation profile for the posted position. Review the Platform Engineer and related SOC codes in O*NET and mirror that language in your resume so your background maps cleanly to what your employer will certify.
Green Card Platform Engineer: Frequently Asked Questions
Does Platform Engineer work qualify as a specialty occupation for green card purposes?
Yes. Platform Engineer roles typically require a bachelor's degree or higher in computer science, information systems, or a related field, which meets the specialty occupation definition used in employment-based green card filings. The PERM process requires your employer to document that the position genuinely demands that level of education, and infrastructure roles with architectural scope generally satisfy that standard.
How is EB-2 or EB-3 green card sponsorship different from H-1B for Platform Engineers?
H-1B visa is a temporary work visa subject to an annual lottery, while EB-2 and EB-3 lead to permanent residency with no lottery. The PERM process requires your employer to conduct a formal domestic recruitment effort before sponsoring you, which adds time upfront but results in a green card rather than a renewable temporary status. For most nationalities outside India and China, EB-3 priority dates are current or close to current.
Which employers actually sponsor Platform Engineers for green cards?
Technology companies, cloud infrastructure firms, financial institutions, and large healthcare organizations are the most consistent PERM filers for Platform Engineer roles. You can verify an employer's filing history through the OFLC Wage Search, which publishes certified PERM applications by job title and employer. Migrate Mate surfaces this sponsorship history directly in job search results so you can prioritize companies with a proven track record.
How long does the PERM green card process take for a Platform Engineer?
The full process from PERM filing to receiving your green card typically spans two to four years for most nationalities, though it can be significantly longer for applicants born in India or China due to per-country annual limits. The PERM labor certification stage at DOL currently takes several months, followed by the I-140 petition at USCIS and then adjustment of status or consular processing depending on your situation.
Can a Platform Engineer start the PERM process while on H-1B status?
Yes, and starting early is strongly recommended. Your employer can file a PERM application while you're on H-1B, and once your I-140 is approved with a priority date more than 365 days old, you gain H-1B renewal portability beyond the standard six-year cap under AC21. This means you can stay in valid status while your green card application moves through the queue without needing a new H-1B.