H-1B1 Singapore Visa Performance Engineer Jobs
Performance Engineer jobs with H-1B1 Singapore visa sponsorship are a direct path for Singaporean professionals to work in the U.S. without a lottery or USCIS petition. The H-1B1 cap of 5,400 rarely fills, and consulate processing in Singapore keeps timelines predictable for engineers with a qualifying specialty occupation background.
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As an Analyst within the Network Strategy Performance team, you will own analytics that directly shape where and how Amazon serves customers globally. You will model network scenarios spanning 100+ sites across 40+ countries, inform multi-year investment decisions, and deliver insights that influence headcount allocation, site strategy, and contact routing for one of the world's largest customer service networks.
This isn't a reporting role — you'll tackle ambiguous, high-stakes questions: Where should we expand next? How do we balance cost-to-serve against customer experience across geographies? What's the optimal site mix for the next three years? Your analysis will flow directly into monthly, OP and 3YP cycles that leadership uses to allocate resources.
You will partner closely with Operations, Products, FP&A, and Service Delivery teams — identifying gaps, measuring performance, and driving automation and process improvement initiatives. You will contribute to the team's AI-driven transformation agenda by applying AI tools to increase the speed, quality, and scale of analytical outputs.
Key job responsibilities
- Own analytical inputs for network planning — model contact allocation scenarios, site investment options, and capacity strategies across geographies. Build and maintain the frameworks that determine how millions of weekly customer contacts are distributed across the global CS network, coordinating with Finance, and Service Delivery teams to ensure alignment with cost and CX targets.
- Translate complex or ambiguous network strategy questions into structured analysis — e.g., site expansion feasibility, cost-to-serve trade-offs, regional performance variance. Dive into the heart of ambiguous problems with non-defined inputs and outputs, identify root causes driving site or network-level performance gaps, and derive recommendations that influence headcount allocation, site investment, and network architecture decisions.
- Independently apply AI tools (e.g., Amazon Q, generative AI assistants, AgentZ) to accelerate analytical workflows, identifying opportunities to improve speed and quality of planning outputs. Develop side-of-desk automation for repetitive tasks within your workstream, demonstrating measurable productivity improvement.
- Design, implement, and support self-service analytics platforms that provide business teams with ad-hoc access to large datasets. Drive automation of data requirements by scaling data processes, creating dashboards, and building efficient queries across diverse data sources (contact volumes, productivity metrics, cost data, CX scores) to provide a holistic view of network performance.
- Communicate complex analytical insights and translate network performance data into clear narratives for Finance, Service delivery and senior leadership. Present analysis to leadership audiences with clarity and conviction. Participate in strategic and tactical planning discussions (OP, 3YP, QXG), producing well-structured documents that tie conclusions to business outcomes.
About the team
The Network Strategy and Performance (NSP) team defines and delivers the right human-assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. We are responsible for: (1) planning customer support staffing; (2) preserving the customer experience when customers contact Customer Service; and (3) ensuring best costs for providing customer support.
We analyze historical data and anticipate potential business events to accurately predict the number of Customer Service Associates (CSAs) required for a given period. Our areas of expertise span forecasting, planning, optimization, data analytics, execution and reporting. We deliver our vision using operations research, data science, and program management — and we continue to challenge the status quo, invent and simplify, and deliver excellence for our customers.
The Network Performance team is on a transformation journey. We are building a future-ready team that combines analytical rigor with AI fluency, executive-level communication, and the ability to drive outcomes across organizational boundaries. We are seeking an Analyst to join this team and help shape how Amazon plans, staff, and optimizes its Customer Service network.
BASIC QUALIFICATIONS
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- 2+ years of supply chain experience
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, WA, Seattle - 85,800.00 - 128,600.00 USD annually
DESCRIPTION
As an Analyst within the Network Strategy Performance team, you will own analytics that directly shape where and how Amazon serves customers globally. You will model network scenarios spanning 100+ sites across 40+ countries, inform multi-year investment decisions, and deliver insights that influence headcount allocation, site strategy, and contact routing for one of the world's largest customer service networks.
This isn't a reporting role — you'll tackle ambiguous, high-stakes questions: Where should we expand next? How do we balance cost-to-serve against customer experience across geographies? What's the optimal site mix for the next three years? Your analysis will flow directly into monthly, OP and 3YP cycles that leadership uses to allocate resources.
You will partner closely with Operations, Products, FP&A, and Service Delivery teams — identifying gaps, measuring performance, and driving automation and process improvement initiatives. You will contribute to the team's AI-driven transformation agenda by applying AI tools to increase the speed, quality, and scale of analytical outputs.
Key job responsibilities
- Own analytical inputs for network planning — model contact allocation scenarios, site investment options, and capacity strategies across geographies. Build and maintain the frameworks that determine how millions of weekly customer contacts are distributed across the global CS network, coordinating with Finance, and Service Delivery teams to ensure alignment with cost and CX targets.
- Translate complex or ambiguous network strategy questions into structured analysis — e.g., site expansion feasibility, cost-to-serve trade-offs, regional performance variance. Dive into the heart of ambiguous problems with non-defined inputs and outputs, identify root causes driving site or network-level performance gaps, and derive recommendations that influence headcount allocation, site investment, and network architecture decisions.
- Independently apply AI tools (e.g., Amazon Q, generative AI assistants, AgentZ) to accelerate analytical workflows, identifying opportunities to improve speed and quality of planning outputs. Develop side-of-desk automation for repetitive tasks within your workstream, demonstrating measurable productivity improvement.
- Design, implement, and support self-service analytics platforms that provide business teams with ad-hoc access to large datasets. Drive automation of data requirements by scaling data processes, creating dashboards, and building efficient queries across diverse data sources (contact volumes, productivity metrics, cost data, CX scores) to provide a holistic view of network performance.
- Communicate complex analytical insights and translate network performance data into clear narratives for Finance, Service delivery and senior leadership. Present analysis to leadership audiences with clarity and conviction. Participate in strategic and tactical planning discussions (OP, 3YP, QXG), producing well-structured documents that tie conclusions to business outcomes.
About the team
The Network Strategy and Performance (NSP) team defines and delivers the right human-assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. We are responsible for: (1) planning customer support staffing; (2) preserving the customer experience when customers contact Customer Service; and (3) ensuring best costs for providing customer support.
We analyze historical data and anticipate potential business events to accurately predict the number of Customer Service Associates (CSAs) required for a given period. Our areas of expertise span forecasting, planning, optimization, data analytics, execution and reporting. We deliver our vision using operations research, data science, and program management — and we continue to challenge the status quo, invent and simplify, and deliver excellence for our customers.
The Network Performance team is on a transformation journey. We are building a future-ready team that combines analytical rigor with AI fluency, executive-level communication, and the ability to drive outcomes across organizational boundaries. We are seeking an Analyst to join this team and help shape how Amazon plans, staff, and optimizes its Customer Service network.
BASIC QUALIFICATIONS
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- 2+ years of supply chain experience
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
PREFERRED QUALIFICATIONS
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, WA, Seattle - 85,800.00 - 128,600.00 USD annually
See all 409+ H-1B1 Singapore Visa Performance Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Performance Engineer
Map your role to specialty occupation criteria
Performance engineering must require at least a bachelor's degree in a directly related field to qualify as a specialty occupation. Pull the O*NET profile for your specific job code and confirm the education requirement is field-specific, not general.
Target employers with active LCA filing history
Search Migrate Mate to filter companies with verified H-1B1 visa LCA filings for engineering roles. DOL Labor Condition Application data shows which employers have sponsored Singaporean professionals before, cutting your research time significantly.
Request an LCA before your start date is set
Your employer files the LCA with DOL before submitting your visa application. Push for LCA certification at least four weeks before your interview slot, since DOL processing can take seven business days and delays cascade to your consulate appointment.
Verify your employer meets prevailing wage obligations
Use the OFLC Wage Search to look up the prevailing wage for your performance engineering job code and work location before accepting an offer. If the offered salary falls below Level I, request a written explanation or renegotiate.
Prepare a degree equivalency letter for three-year programs
Singapore's three-year bachelor's degrees can face scrutiny at the consulate. Obtain a credential evaluation from a NACES-member organization before your interview to document U.S. equivalency and head off 221(g) administrative processing delays.
Clarify E-Verify enrollment with your employer before signing
H-1B1 visa employers aren't universally required to use E-Verify, but many tech and government-contract employers are mandated. Confirm enrollment status before you resign your current role, since unenrolled federal contractors can't legally onboard you.
Frequently Asked Questions
Does a Performance Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, software engineering, or systems engineering. Roles requiring only general IT experience or a degree in any field won't meet the specialty occupation standard. Your employer documents this requirement in the Labor Condition Application filed with DOL before your consulate appointment.
How does the H-1B1 Singapore visa compare to the H-1B for Performance Engineers?
The H-1B1 visa skips the H-1B lottery entirely and caps at 5,400 annual visas for Singaporeans, a number that has never been exhausted. Instead of a USCIS petition, your employer files an LCA with DOL and you apply directly at the U.S. Embassy in Singapore. The trade-off is that the H-1B1 visa doesn't allow dual intent, so you can't simultaneously pursue a green card while on status without careful planning.
How do I find employers who actively sponsor H-1B1 Singapore visas for Performance Engineer positions?
Migrate Mate filters job listings by employers with verified H-1B1 visa and H-1B LCA filing history, so you can focus on companies that have already sponsored engineering roles rather than cold-applying and discovering sponsorship issues late in the process. DOL's public LCA disclosure data underpins those results, giving you a factual basis for prioritizing your outreach.
Can I switch employers after entering the U.S. on an H-1B1 Singapore visa?
Yes, but your new employer must file a fresh LCA with DOL and you'll need to obtain a new H-1B1 visa stamp before re-entering the U.S. after any international travel. Unlike H-1B portability under AC21, there's no provision that lets you start work immediately upon filing. Coordinate the timing carefully to avoid a gap in authorized employment.
What happens if my H-1B1 Singapore visa expires while I'm still working in the U.S.?
Your authorized stay is tied to your I-94 admission period, not the visa stamp's expiration date. You can remain and work as long as your I-94 is valid, but you'll need a renewed visa stamp to re-enter after any trip abroad. Employers typically initiate the renewal LCA process at least 60 days before your current admission period ends to avoid disruption, so flag the timeline early with your HR team.