Green Card Backend Software Engineer Jobs
Backend software engineers pursuing permanent U.S. residency can qualify under EB-2 for advanced-degree professionals or EB-3 for skilled workers, both requiring employer-sponsored PERM labor certification. Your employer files the I-140 petition after PERM approval, initiating your path to a green card. Priority dates and country of birth determine your actual wait time for sponsorship.
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Get Access To All JobsINTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Backend Software Engineer
Document your backend specialization before applying
PERM requires the employer to define a specific job role with a minimum degree requirement. Gather transcripts, credential evaluations, and project documentation that tie your backend skills, system architecture, distributed systems, API design, to a defined specialty occupation before your first interview.
Filter job postings by PERM filing history
Not every company that sponsors H-1B visas will sponsor a green card. Search DOL PERM disclosure data for employers who have filed PERM applications for software engineering roles in the past two years, those employers already have a sponsorship process in place.
Ask about the prevailing wage tier during offer negotiations
PERM locks your employer into paying at least the DOL prevailing wage for your role and location. Use the OFLC Wage Search to find the wage level for your specific backend job title before negotiating, so you understand the floor your offer must meet for the filing to be valid.
Negotiate green card sponsorship into your offer letter
Get explicit written commitment covering PERM, I-140, and adjustment of status before signing. Verbal promises are unenforceable, USCIS requires the employer to demonstrate a continuing job offer, and you want that commitment documented from day one.
Use Migrate Mate to find employers sponsoring backend roles
Search Migrate Mate to identify companies with active green card sponsorship history for software engineering positions. Filtering by role type and sponsorship record lets you focus your applications on employers who have already committed to the PERM process for backend engineers.
Understand how your birth country affects your priority date
EB-3 for India and China faces multi-year backlogs due to per-country caps, while EB-2 backlogs for those countries stretch even longer. Request your employer start the PERM process as early as possible, your priority date is set when PERM is filed, not when I-140 is approved.
Green Card Backend Software Engineer: Frequently Asked Questions
Does a backend software engineer role qualify for EB-2 or EB-3 sponsorship?
Most backend engineering roles qualify under EB-2 if the position requires a master's degree or its equivalent, or under EB-3 if a bachelor's degree is the stated minimum. The employer defines the job requirements during PERM, which locks in the classification. Roles requiring specialized knowledge in distributed systems, cloud infrastructure, or machine learning pipelines are frequently filed at EB-2 level.
How does green card sponsorship differ from H-1B for backend engineers?
H-1B is a temporary, nonimmigrant status with an annual lottery cap and a six-year base limit. Green card sponsorship through EB-2 or EB-3 results in permanent residency with no recurring renewal, no lottery, and no cap on the number of employers who can file. The tradeoff is timeline: PERM and I-140 processing can take two or more years before you even reach the priority date queue.
What does the PERM labor certification process require from backend engineering candidates?
Your employer runs PERM, but you need to meet the minimum qualifications listed in the job description exactly as filed. PERM also requires the employer to conduct a formal recruitment process to show no qualified U.S. workers were available. Any mismatch between your credentials and the job requirements at the time of filing can result in denial, so verify your transcripts and equivalent experience documentation are in order beforehand.
How can I find backend software engineer jobs that include green card sponsorship?
Migrate Mate lets you search specifically for backend software engineer roles at employers with documented green card sponsorship history, filtered by PERM filing activity. This removes the guesswork of cold-applying to companies that may only offer H-1B transfers. Targeting employers with an established PERM track record for engineering roles significantly reduces the risk of starting the process with a company that lacks experience or internal immigration infrastructure.
Can I change employers after my I-140 is approved?
Yes, under AC21 portability rules, you can change to a same or similar occupational classification after your I-140 has been approved for 180 days and your adjustment of status application is pending. Backend engineering roles generally port well across companies given the consistent SOC code classification. Confirm the new role falls within the same occupational category before making a move, and notify USCIS of the change.