Green Card Backend Software Developer Jobs
Backend Software Developer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available for the position. Most backend roles satisfy the specialty occupation standard, and your employer files the I-140 petition after PERM approval.
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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 Developer
Align your degree field to the role
EB-2 and EB-3 PERM filings require your degree to match the job's educational requirement. A computer science or software engineering degree maps cleanly to backend roles; a business or general IT degree may trigger a Request for Evidence.
Target employers with existing PERM infrastructure
Companies that have filed PERM applications before already have immigration counsel, internal processes, and budget approved. Search DOL PERM disclosure data to identify employers who have sponsored backend developers in the past two years.
Use OFLC Wage Search before negotiating your offer
Your employer's PERM filing must certify a wage at or above the DOL prevailing wage for your job title and location. Pull your specific SOC code and metro area from OFLC Wage Search so you know the floor before the offer letter is signed.
Find green card sponsoring employers on Migrate Mate
Search by job title and location on Migrate Mate to filter specifically for backend roles where employers have active green card sponsorship history, so you're not cold-applying to companies without an established sponsorship process.
Clarify the job duties scope early in the interview
PERM requires the employer to lock in a specific job description before filing. If your role shifts significantly after you start, the approved PERM may no longer match your actual duties, which can complicate your I-140 petition down the line.
Understand concurrent filing if your priority date is current
If your country of birth allows it, USCIS permits concurrent filing of I-140 and I-485 when a visa number is immediately available. For EB-3 backend developer roles, this can shorten total green card processing time significantly.
Green Card Backend Software Developer: Frequently Asked Questions
Does a Backend Software Developer role qualify for EB-2 or EB-3 green card sponsorship?
Most backend developer positions qualify under EB-3 as a skilled worker or professional role. EB-2 applies if the position requires an advanced degree, such as a master's or higher in computer science or a related field, or if the candidate has equivalent specialized credentials. Your employer's job description and your specific educational background determine which category fits.
How does green card sponsorship differ from H-1B sponsorship for a backend developer?
H-1B visa is a temporary nonimmigrant visa with an annual lottery cap and a maximum duration that requires extensions. Green card sponsorship through PERM leads to permanent residency with no annual cap at the EB-3 level for most countries. The PERM process typically takes one to two years before the I-140 is filed, but once approved, your status is permanent rather than tied to an employer's continued sponsorship of a temporary visa.
What does the PERM labor certification process involve for a backend developer role?
Your employer must conduct a supervised recruitment process to demonstrate no qualified U.S. worker is available for the specific backend developer position. DOL reviews the recruitment steps, the prevailing wage determination, and the job requirements. Typical PERM processing takes six to eighteen months depending on whether the application is selected for audit. Only after PERM approval can your employer file the I-140 petition with USCIS.
Where can I find backend developer jobs where employers already sponsor green cards?
Migrate Mate lets you search specifically for backend developer roles where employers have a documented green card sponsorship history. Filtering by sponsorship type upfront saves you from applying to companies that only sponsor H-1B visas or have no immigration infrastructure, and it surfaces roles where the PERM and I-140 pipeline is already familiar to the hiring team.
Can I switch employers after my PERM is approved but before my green card is issued?
Once your I-140 petition has been approved and is at least 180 days old, U.S. immigration law allows you to port to a new employer in the same or a similar occupational classification without losing your priority date. For backend developers, this typically means moving to another software development or engineering role. USCIS evaluates whether the new position is sufficiently similar to the one listed on the original approved petition.