Staff Software Engineer Visa Sponsorship Jobs in Idaho
Staff software engineer visa sponsorship jobs in Idaho are concentrated in Boise, where a growing tech sector includes employers like Micron Technology, HP Inc., and Clearwater Analytics. As Idaho's software industry expands beyond its semiconductor roots, senior engineering roles are increasingly available, and international candidates with the right qualifications are actively recruited by both established firms and funded startups.
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INTRODUCTION
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems. As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.
KEY RESPONSIBILITIES
- Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
- Build and optimize high-throughput, low-latency data pipelines for critical business applications.
- Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
- Help support the Streaming team that forms the backbone for several online and offline workloads at Affirm.
- Improve the reliability and efficiency of the Data Platform at scale and high availability.
- Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices.
- Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems.
BASIC QUALIFICATIONS
- 8+ years of industry experience in building large scale production systems.
- Strong hands-on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queueing.
- Experience building and operating robust and highly available infrastructure.
- Experience working with data platforms like Snowflake, Glue or Databricks is a plus.
- Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus.
- Expertise with at least one stream processing framework like Spark, Samza, Flink, Beam etc.
- Hands-on experience with Kafka Connect, and Kafka Schema Registry components, understanding its underlying functionality and implementation.
- Solid programming skills in Python, Java or Kotlin.
- Experience with Apache Iceberg table format, CDC (Change Data Capture) tools is a strong plus.
- Knowledge of Relational and NoSQL databases is a plus.
- Experience leading technical projects and mentoring junior engineers.
- Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
COMPENSATION
Base Pay Grade - P
Equity Grade - 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000
USA base pay range (all other U.S. states) per year: $200,000 - $250,000
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
BENEFITS
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses.
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount.
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

INTRODUCTION
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems. As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.
KEY RESPONSIBILITIES
- Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
- Build and optimize high-throughput, low-latency data pipelines for critical business applications.
- Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
- Help support the Streaming team that forms the backbone for several online and offline workloads at Affirm.
- Improve the reliability and efficiency of the Data Platform at scale and high availability.
- Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices.
- Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems.
BASIC QUALIFICATIONS
- 8+ years of industry experience in building large scale production systems.
- Strong hands-on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queueing.
- Experience building and operating robust and highly available infrastructure.
- Experience working with data platforms like Snowflake, Glue or Databricks is a plus.
- Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus.
- Expertise with at least one stream processing framework like Spark, Samza, Flink, Beam etc.
- Hands-on experience with Kafka Connect, and Kafka Schema Registry components, understanding its underlying functionality and implementation.
- Solid programming skills in Python, Java or Kotlin.
- Experience with Apache Iceberg table format, CDC (Change Data Capture) tools is a strong plus.
- Knowledge of Relational and NoSQL databases is a plus.
- Experience leading technical projects and mentoring junior engineers.
- Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
COMPENSATION
Base Pay Grade - P
Equity Grade - 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000
USA base pay range (all other U.S. states) per year: $200,000 - $250,000
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
BENEFITS
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses.
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount.
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Staff Software Engineer Job Roles in Idaho
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Search Staff Software Engineer Jobs in IdahoStaff Software Engineer Jobs in Idaho: Frequently Asked Questions
Which companies in Idaho sponsor visas for staff software engineers?
Micron Technology is Idaho's most prominent visa sponsor for senior engineering roles, given its large semiconductor and software operations in Boise. HP Inc. and Clearwater Analytics also hire at the staff engineer level and have established sponsorship programs. Smaller Boise-based tech companies and fintech startups sponsor less frequently, though some do file H-1B petitions for experienced senior hires.
Which visa types are most common for staff software engineer roles in Idaho?
The H-1B is the most common visa category for staff software engineers in Idaho, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science or a related field. Candidates already holding L-1B visas through multinational transfers also appear in senior engineering pipelines, particularly at Micron Technology, which has global operations.
How to find staff software engineer visa sponsorship jobs in Idaho?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse staff software engineer roles posted by Idaho employers who have a history of sponsoring international candidates. Rather than sifting through general listings, you can focus on companies in the Boise area that have filed H-1B petitions for senior engineering positions, saving significant time in your search.
Which cities in Idaho have the most staff software engineer sponsorship jobs?
Boise accounts for the large majority of staff software engineer sponsorship opportunities in Idaho. The Treasure Valley area, which includes Nampa and Meridian, hosts satellite offices and tech campuses connected to Boise's core industry. Outside that corridor, sponsorship opportunities are sparse. Candidates targeting Idaho should concentrate their search on the greater Boise metro, where most of the state's established tech employers are based.
Are there state-specific or role-specific factors to know when pursuing staff software engineer sponsorship in Idaho?
Idaho does not impose state-level visa requirements, but staff software engineer roles typically command higher prevailing wage levels under Department of Labor wage tiers, which affects what employers must pay sponsored workers. Boise State University and the University of Idaho produce local engineering talent, so employers in Idaho are selective at the staff level and generally expect demonstrated senior-level experience and technical leadership from sponsored candidates.
What is the prevailing wage for sponsored staff software engineer jobs in Idaho?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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