Green Card Backend Engineer Jobs
Backend Engineer roles qualify for EB-2 and EB-3 green card sponsorship when the position requires a bachelor's degree or higher in computer science, software engineering, or a related field. Employers initiate the PERM labor certification process with DOL before filing the I-140 petition, making sponsorship a deliberate, multi-step commitment from the hiring company.
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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 Engineer
Document your degree field carefully
PERM requires your degree to correspond directly to the Backend Engineer role. A computer science or software engineering degree strengthens alignment, but a degree in a related field can qualify if your transcript shows coursework in systems, algorithms, or distributed computing.
Target employers with active PERM filings
Search the DOL's OFLC Wage Search records to identify companies that have filed PERM certifications for software engineering roles. Employers who have done it before understand the process and are less likely to withdraw sponsorship midway.
Use Migrate Mate to filter by sponsorship history
Filter Backend Engineer listings by green card sponsorship history on Migrate Mate. This surfaces employers who have completed EB-2 or EB-3 filings for similar roles, cutting out the guesswork of asking recruiters about sponsorship willingness upfront.
Clarify the EB tier before accepting an offer
Ask whether the employer intends to file under EB-2 or EB-3 before signing. EB-2 requires demonstrating an advanced degree or equivalent, while EB-3 covers bachelor's-level roles. The tier affects your priority date and wait time if you're from a backlogged country.
Understand the PERM recruitment obligation
Your employer must complete a mandatory DOL recruitment process before filing PERM, advertising the role to U.S. workers. This typically takes three to six months. Starting discussions early in your job search gives the employer time to initiate that process before your current status expires.
Verify the job description matches O*NET requirements
PERM applications for Backend Engineer roles are compared against the O*NET occupation profile. If the posted job description overstates requirements, DOL may audit the filing. Confirm with your employer that the listed duties and degree requirements align with standard industry definitions.
Green Card Backend Engineer: Frequently Asked Questions
Does a Backend Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most Backend Engineer positions qualify for EB-3 sponsorship when the role requires a bachelor's degree in computer science, software engineering, or a closely related field. EB-2 applies if the position genuinely requires a master's degree or if you hold a bachelor's plus five years of progressive experience that USCIS accepts as the equivalent. The tier your employer files under affects your priority date and potential wait time.
How does PERM green card sponsorship differ from H-1B sponsorship for Backend Engineers?
H-1B visa grants temporary work authorization for up to six years, with annual cap and lottery exposure. PERM-based green card sponsorship leads to permanent residency and has no annual cap at the EB-3 classification level for most countries outside India and China. The PERM process takes longer upfront, typically one to three years from labor certification to I-485 approval, but the outcome is lawful permanent residency rather than a visa you need to renew.
How long does the EB-3 green card process take for a Backend Engineer?
From PERM filing to a green card in hand, the process typically runs one to three years for applicants from countries without significant backlogs. The PERM labor certification itself takes three to six months with DOL. After that, USCIS processes the I-140 petition, then you file I-485 for adjustment of status once your priority date is current. Applicants born in India or China face substantially longer waits due to per-country annual limits.
Where can I find Backend Engineer jobs that offer green card sponsorship?
Migrate Mate lets you search Backend Engineer roles specifically filtered by employment-based green card sponsorship history. Rather than asking every recruiter whether sponsorship is available, you can identify employers who have already completed EB-2 or EB-3 filings for software engineering roles, which signals both willingness and experience with the PERM process.
Can my employer start the PERM process while I'm on H-1B status?
Yes, and starting early is strategically important. USCIS allows H-1B extensions beyond the standard six-year limit once your PERM has been filed for 365 days or your I-140 has been approved. For Backend Engineers on H-1B, this means initiating the PERM process as early as possible protects your ability to stay in the U.S. while your green card application moves through the queue.