H-1B1 Singapore Visa Software Development Manager Jobs
Software Development Manager jobs with H-1B1 Singapore visa sponsorship are accessible to Singaporean nationals without a lottery or USCIS petition filing. The annual cap of 5,400 rarely fills, and your consulate interview in Singapore replaces the employer-side USCIS process, making sponsorship faster to arrange than most U.S. tech roles require.
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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 1,136+ H-1B1 Singapore Visa Software Development Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Software Development Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Software Development Manager
Verify your degree aligns with specialty occupation
Software Development Manager roles must qualify as a specialty occupation under the H-1B1 visa framework. Pull the O*NET profile for your job code and confirm it requires a bachelor's degree or higher in computer science, software engineering, or a directly related field before applying.
Target employers with active LCA filing history
Use Migrate Mate to identify employers who've filed Labor Condition Applications for software management roles. LCA history signals that a company already understands the H-1B1 Singapore process and has infrastructure to support your sponsorship without starting from scratch.
Distinguish management scope from individual contributor roles
Job postings titled Software Development Manager sometimes describe a senior IC role with no direct reports, which can weaken specialty occupation arguments at your consulate interview. Confirm the role involves leading engineers and technical strategy, not just owning a codebase.
Ask employers about LCA timing before accepting offers
Your employer must file and receive a certified LCA from DOL before your consulate appointment. That certification typically takes seven business days. Build this into your start-date negotiation so you aren't scheduling your Singapore interview before the LCA clears.
Cross-check your offered salary against OFLC Wage Search
DOL requires your offered wage to meet the prevailing wage for Software Development Manager roles in your work location. Run the OFLC Wage Search using your job's SOC code before finalizing your offer letter so you catch any wage shortfall before filing begins.
Prepare for nonimmigrant intent questions at your interview
Unlike the H-1B visa, the H-1B1 visa does not allow dual intent. Consular officers will assess your ties to Singapore. Have documentation of ongoing connections, such as property, family, or financial accounts, ready alongside your technical credentials and employment letter.
Frequently Asked Questions
Does a Software Development Manager role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes, provided the position genuinely requires a bachelor's degree or higher in a directly related field such as computer science or software engineering. Roles that accept any degree, or that function as general operations management rather than technical leadership, are harder to qualify. USCIS guidance on specialty occupation and the O*NET profile for your specific job code are the two benchmarks consular officers apply.
How does the H-1B1 Singapore visa differ from the H-1B for a Software Development Manager?
The H-1B1 Singapore visa has no lottery, no USCIS petition requirement, and a separate annual cap of 5,400 that has never been exhausted. You apply directly at the U.S. consulate in Singapore using your employer's certified LCA. The H-1B requires a USCIS-filed I-129 petition and, for most applicants, lottery selection. For Singaporean nationals in software management, the H-1B1 is typically faster and more predictable.
How do I find Software Development Manager employers who sponsor the H-1B1 Singapore visa?
Search Migrate Mate to filter for employers with verified H-1B1 Singapore LCA filing history in software and engineering management roles. LCA records are public DOL data, and filtering by occupation code surfaces companies that have sponsored this visa category before, rather than those encountering the process for the first time when you raise it.
What happens to my H-1B1 status if I'm laid off as a Software Development Manager?
The H-1B1 visa does not carry a statutory grace period under federal immigration law the way the H-1B does. Losing your sponsoring employer generally means your authorized stay ends. You'd need to find a new employer willing to file a fresh LCA and support a new consulate application, or depart the U.S. Discussing this risk with your employer before signing is advisable.
Can my spouse work in the U.S. if I'm on an H-1B1 Singapore visa as a Software Development Manager?
Your spouse can accompany you on an H-4 dependent visa, but H-4 status does not include automatic work authorization. Unlike H-4 spouses of H-1B holders with an approved I-140 who may qualify for an EAD, there is no equivalent pathway for H-4 dependents of H-1B1 visa holders. Your spouse would need an independent work visa to be employed in the U.S.