Green Card Principal Software Engineer Jobs
Principal Software Engineer roles at U.S. companies regularly qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification. Employers file with DOL to demonstrate no qualified U.S. workers are available, then sponsor your I-140 petition. Finding employers with active PERM filing history is the first step toward permanent residency sponsorship.
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Get Access To All JobsINTRODUCTION
Oracle Cloud Infrastructure (OCI) is seeking an experienced Principal Application Software Engineer to lead the AI Platform and Productivity Engineering organization. This role will own the design and operating standards for the AI control plane and data plane, Codex enablement, plugin strategy, Skills and GPT guidance, memory strategy, model routing. The role will also own AI cost, token, and usage intelligence—including usage telemetry, cost attribution, forecasting, token budgets, threshold alerts, showback/chargeback, and model-cost optimization. By providing the data and technical patterns behind dynamic model enforcement, the role enables leaders to distinguish productive AI investment from avoidable spend while allowing teams to scale AI safely and efficiently.
Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads. Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience.
Key Responsibilities
- Designs, delivers, and operates scalable, secure software solutions by leading requirements analysis, architecture and code reviews, API integration and lifecycle strategy, complex debugging and performance optimization, and comprehensive testing, logging, monitoring, and observability practices.
- Design and development for control-plane/data-plane architecture, Codex architecture, model routing.
- Define enterprise technical guidance for plugin, Skill, GPT, custom application.
- Leads cross-team evolution of middleware and runtime standards, defining safe versioning, deprecation, and rollout practices while driving shared observability, SLO, and resilience patterns.
- Develops scalable software, systems, and services; recommends project and design scope; applies architectural standards and performance optimization; and coaches engineers while collaborating with stakeholders to align solutions with the broader technical architecture.
- Partners with stakeholders and customers to investigate and resolve complex product issues, communicate short- and long-term solutions, improve defect-handling processes, and translate customer feedback into product enhancements.
- Ensures secure, compliant, and reliable software delivery by enforcing engineering standards and peer reviews, coaching developers on best practices, implementing secure coding controls, and driving automated maintenance, patching, testing, debugging, and operational improvements.
- Define dynamic model-enforcement patterns that optimize cost, quality, risk, and performance.
- Own usage telemetry, model-cost optimization, forecasting, token budgets, threshold alerts.
- Provide the data foundation and technical recommendations that enable leadership to identify high-value AI usage, and make informed investment decisions.
- Establish token and context optimization patterns, including model selection, caching, context management, and workload-specific routing.
- Partner with engineering and product teams to ensure shared AI capabilities are secure, observable, reliable, scalable, and easy to adopt.
MINIMUM JOB QUALIFICATIONS EDUCATION AND/OR EXPERIENCE:
- Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development.
- 5+ years of experience designing and delivering scalable distributed systems, APIs, developer platforms, or cloud services.
- 3+ years of experience with cloud platforms such as OCI, AWS, Azure, or Google Cloud.
- 3+ years of experience with programming languages such as Java, Python, JavaScript, Go.
- Experience with production operations, including observability, logging, monitoring, incident response, service reliability, and performance optimization.
- Experience working across engineering, architecture, security, product, and business stakeholders to deliver shared platform capabilities.
- 4 years of experience with databases.
PREFERRED SKILLS
AI Skills and Experience
- Experience building, integrating, or operating AI-enabled applications, generative AI platforms, developer tools, or enterprise productivity solutions.
- Experience with LLM application patterns, including prompt design, retrieval-augmented generation, tool/function calling, agents, memory, evaluations, and model routing.
- Experience designing AI control-plane/data-plane architecture, reusable plugins, Skills, GPTs, shared services, or enterprise AI enablement platforms.
- Experience implementing AI governance, security, privacy, model-access controls, policy-driven model selection, or certification processes.
- Experience with AI cost optimization, including token and context management, usage telemetry, cost attribution, forecasting, budgeting, caching, and model-performance optimization.
- Experience defining API standards, versioning, deprecation, rollout, and interoperability strategies for platforms with multiple downstream consumers.
INTRODUCTION
Oracle Cloud Infrastructure (OCI) is seeking an experienced Principal Application Software Engineer to lead the AI Platform and Productivity Engineering organization. This role will own the design and operating standards for the AI control plane and data plane, Codex enablement, plugin strategy, Skills and GPT guidance, memory strategy, model routing. The role will also own AI cost, token, and usage intelligence—including usage telemetry, cost attribution, forecasting, token budgets, threshold alerts, showback/chargeback, and model-cost optimization. By providing the data and technical patterns behind dynamic model enforcement, the role enables leaders to distinguish productive AI investment from avoidable spend while allowing teams to scale AI safely and efficiently.
Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads. Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience.
Key Responsibilities
- Designs, delivers, and operates scalable, secure software solutions by leading requirements analysis, architecture and code reviews, API integration and lifecycle strategy, complex debugging and performance optimization, and comprehensive testing, logging, monitoring, and observability practices.
- Design and development for control-plane/data-plane architecture, Codex architecture, model routing.
- Define enterprise technical guidance for plugin, Skill, GPT, custom application.
- Leads cross-team evolution of middleware and runtime standards, defining safe versioning, deprecation, and rollout practices while driving shared observability, SLO, and resilience patterns.
- Develops scalable software, systems, and services; recommends project and design scope; applies architectural standards and performance optimization; and coaches engineers while collaborating with stakeholders to align solutions with the broader technical architecture.
- Partners with stakeholders and customers to investigate and resolve complex product issues, communicate short- and long-term solutions, improve defect-handling processes, and translate customer feedback into product enhancements.
- Ensures secure, compliant, and reliable software delivery by enforcing engineering standards and peer reviews, coaching developers on best practices, implementing secure coding controls, and driving automated maintenance, patching, testing, debugging, and operational improvements.
- Define dynamic model-enforcement patterns that optimize cost, quality, risk, and performance.
- Own usage telemetry, model-cost optimization, forecasting, token budgets, threshold alerts.
- Provide the data foundation and technical recommendations that enable leadership to identify high-value AI usage, and make informed investment decisions.
- Establish token and context optimization patterns, including model selection, caching, context management, and workload-specific routing.
- Partner with engineering and product teams to ensure shared AI capabilities are secure, observable, reliable, scalable, and easy to adopt.
MINIMUM JOB QUALIFICATIONS EDUCATION AND/OR EXPERIENCE:
- Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development.
- 5+ years of experience designing and delivering scalable distributed systems, APIs, developer platforms, or cloud services.
- 3+ years of experience with cloud platforms such as OCI, AWS, Azure, or Google Cloud.
- 3+ years of experience with programming languages such as Java, Python, JavaScript, Go.
- Experience with production operations, including observability, logging, monitoring, incident response, service reliability, and performance optimization.
- Experience working across engineering, architecture, security, product, and business stakeholders to deliver shared platform capabilities.
- 4 years of experience with databases.
PREFERRED SKILLS
AI Skills and Experience
- Experience building, integrating, or operating AI-enabled applications, generative AI platforms, developer tools, or enterprise productivity solutions.
- Experience with LLM application patterns, including prompt design, retrieval-augmented generation, tool/function calling, agents, memory, evaluations, and model routing.
- Experience designing AI control-plane/data-plane architecture, reusable plugins, Skills, GPTs, shared services, or enterprise AI enablement platforms.
- Experience implementing AI governance, security, privacy, model-access controls, policy-driven model selection, or certification processes.
- Experience with AI cost optimization, including token and context management, usage telemetry, cost attribution, forecasting, budgeting, caching, and model-performance optimization.
- Experience defining API standards, versioning, deprecation, rollout, and interoperability strategies for platforms with multiple downstream consumers.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Principal Software Engineer
Align your credentials with EB-2 requirements
Principal Software Engineer roles typically satisfy EB-2's advanced-degree requirement if you hold a master's or a bachelor's plus five progressive years in software engineering. Document each promotion and scope expansion now, before your employer files the PERM.
Target employers with PERM filing history
Search the DOL's OFLC Wage Search database to identify companies that have certified PERM applications for software engineering roles. Employers with prior PERM experience move faster and make fewer procedural mistakes that cause delays or denials.
Find sponsoring employers through Migrate Mate
Migrate Mate filters Principal Software Engineer openings by employers with verified green card sponsorship history, so you're applying to companies that have already demonstrated willingness and capacity to file PERM and I-140 petitions.
Negotiate the PERM timeline before accepting an offer
Ask your prospective employer at the offer stage whether they use outside immigration counsel and what their average PERM certification timeline looks like. Delays often start with internal HR backlogs, not USCIS or DOL processing windows.
Verify the job description matches your O*NET profile
DOL auditors compare your PERM job duties against the O*NET occupation profile for Software Engineers. If your role description lists duties outside that profile, your employer's counsel may need to reclassify the position before filing to avoid a denial.
Preserve H-1B status during the green card process
You can file the PERM and I-140 while on H-1B visa without abandoning nonimmigrant status. Once your I-140 is approved and your priority date is current, you can file I-485 to adjust status without leaving the U.S. or switching visa categories.
Green Card Principal Software Engineer: Frequently Asked Questions
Does a Principal Software Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most Principal Software Engineer positions qualify under EB-2 because they require a master's degree or a bachelor's degree plus extensive progressive experience in software engineering. Roles that require only a bachelor's and a set number of years can be filed under EB-3 instead. Your employer's immigration counsel determines which category fits the specific job requirements and your credentials before filing the PERM application with DOL.
How does green card sponsorship differ from H-1B for this role?
Green card sponsorship through PERM and I-140 leads to permanent residency, not a temporary status. Unlike H-1B, there's no annual lottery for EB-2 or EB-3 petitions, and your employer doesn't re-petition every few years. The tradeoff is timeline: the full PERM, I-140, and adjustment-of-status process typically takes one to four years for most countries, with longer waits for Indian and Chinese nationals due to priority date backlogs.
What does the PERM labor certification process require from my employer?
Your employer must conduct a federally prescribed recruitment process, including job postings, newspaper ads, and internal notices, to document that no qualified U.S. worker is available for the Principal Software Engineer role. DOL reviews the recruitment results and either certifies or denies the PERM application. The job description filed with DOL must match the actual duties you'll perform, and your employer can't tailor the requirements specifically to your background.
How do I find Principal Software Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter Principal Software Engineer openings by employers with verified green card sponsorship history, so you're not guessing which companies are willing to go through the PERM process. Many employers sponsor H-1B but decline PERM due to cost and timeline, so specifically targeting companies with active EB-2 and EB-3 filing records saves significant time in your search.
Can I switch employers after my I-140 is approved without losing my priority date?
Yes. Once your I-140 has been approved for at least 180 days, portability rules under U.S. immigration law allow you to change employers and carry your priority date to a new PERM and I-140 in a same or similar occupational category. Principal Software Engineer roles generally port to other senior engineering positions. Notify USCIS of the job change when you file or update your I-485 to preserve your place in the queue.