H-1B1 Singapore Visa Coder Jobs
Coder jobs in the United States are open to Singaporean nationals through the H-1B1 Singapore visa, which requires no lottery and no USCIS petition filing. With a specialty occupation job offer and H-1B1 sponsorship, you apply directly at the U.S. Embassy in Singapore and can begin work within weeks of approval.
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We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic autonomous campaigns. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams—science, product, operations—to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.
Key job responsibilities
- Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns
- Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops.
- Build scalable, reusable data and tool registry
- Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.
- Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.
- Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.
- Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.
- Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).
- Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in auto campaign systems can have outsized impact on advertiser success and Amazon’s retail ecosystem.
Our vision is to build a highly personalized, context-aware agentic campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with AI/ML technologies
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic autonomous campaigns. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams—science, product, operations—to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.
Key job responsibilities
- Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns
- Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops.
- Build scalable, reusable data and tool registry
- Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.
- Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.
- Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.
- Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.
- Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).
- Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in auto campaign systems can have outsized impact on advertiser success and Amazon’s retail ecosystem.
Our vision is to build a highly personalized, context-aware agentic campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with AI/ML technologies
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
See all 2,420+ H-1B1 Singapore Visa Coder Jobs
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Get Access To All JobsTips for Finding Coder Jobs
Verify your coding role qualifies
Pull the O*NET profile for your specific coder title before applying. H-1B1 visa requires a specialty occupation tied to a bachelor's degree in a directly related field, and generic 'coder' job descriptions sometimes fail that test at the consulate.
Request the LCA before signing anything
Your employer must file a Labor Condition Application with DOL and receive certification before your visa appointment. Confirm this step is underway early; consulate officers won't approve your H-1B1 visa without a certified LCA in hand.
Target employers already filing H-1B1 Singapore LCAs
Use Migrate Mate to filter for employers with verified H-1B1 Singapore LCA filing history for coding roles. Companies that have filed before understand the process and won't ask you to educate their HR team from scratch.
Prepare your degree equivalency documentation early
If your NUS or NTU computing degree is three years, gather course transcripts and a credential evaluation letter before approaching employers. U.S. consular officers assess degree equivalency themselves, and gaps in your academic record slow approvals.
Distinguish H-1B1 terms when negotiating your offer
H-1B1 visa status is granted in one-year increments, not the three-year blocks common with H-1B visa. Negotiate renewal timelines into your offer letter so you and your employer are aligned on the annual refiling cadence before you accept.
Benchmark your salary against OFLC Wage Search data
Your employer must pay at least the prevailing wage for your coding role and location, certified through the LCA. Run your job title and zip code through OFLC Wage Search before the offer stage so you know the minimum the DOL will require.
Frequently Asked Questions
Does a coder job qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes, provided the role requires at least a bachelor's degree in a directly related field such as computer science, software engineering, or information systems. Job titles like 'coder' or 'programmer' qualify when the employer's job description specifies degree requirements and links the duties to that field. Generic coding roles described as open to any graduate may face additional scrutiny at the consulate.
How does the H-1B1 Singapore visa compare to the H-1B for coder roles?
The H-1B1 Singapore visa skips the H-1B lottery entirely and requires no USCIS petition. You apply directly at the U.S. Embassy in Singapore after your employer files a certified LCA with DOL. The trade-off is that H-1B1 is issued in one-year increments rather than three, so your employer refires the LCA annually. For most coder roles, the faster, lottery-free path outweighs the annual renewal cadence.
How do I find employers willing to sponsor the H-1B1 Singapore visa for coding jobs?
Migrate Mate lets you search for coder roles filtered specifically by employers with H-1B1 Singapore LCA filing history, so you're only seeing companies that have already navigated the process. Cold-applying to employers unfamiliar with the H-1B1 visa often stalls at the HR stage, since many companies know H-1B but not the Singapore-specific treaty visa.
Can my employer file the LCA at the same time as my job offer, or does certification take weeks?
DOL typically certifies LCAs within seven business days of submission, so employers can move quickly once an offer is extended. The LCA must be certified before your consulate appointment, not before the offer letter itself. Ask your employer to begin the DOL filing as soon as you accept, since delays in LCA certification are the most common reason H-1B1 visa timelines slip.
What happens to my H-1B1 status if my coding contract ends before the one-year term expires?
Your H-1B1 visa status is tied to your employer, so a contract ending or a layoff terminates your authorized stay. Unlike H-1B, there is no statutory 60-day grace period written into H-1B1 regulations, which means you should begin a new job search or visa transition immediately. Lining up your next role before your contract closes is the most practical way to avoid a gap in lawful status.