H-1B1 Chile Visa Tech Lead Jobs
Tech Lead jobs with H-1B1 Chile visa sponsorship are a strong fit for Chilean engineers ready to step into leadership roles at U.S. companies. The H-1B visa1 Chile visa skips the H-1B lottery, has an annual cap of 1,400 that rarely fills, and is processed directly at the U.S. consulate in Santiago.
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Get Access To All JobsINTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in cloud computing and building operating systems.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science, Machine Learning, or a related field.
- 5 years of experience with distributed systems, data analytics, and applied ML.
- Experience with AI infrastructure (GPU/TPU, Networking, etc.) management and orchestration.
- Experience with machine learning infrastructure, large-scale distributed systems, and Cloud.
- Excellent problem-solving, code and model tuning skills.
ABOUT THE JOB
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Kubernetes Engine (GKE) AI Platform team is responsible for managing containerized workloads and services on the AI infrastructure (GPUs/TPUs) using Kubernetes (K8s)—an open-source platform. As GKE experiences exponential growth in the AI, ML, and GenAI sectors, our team ensures that this infrastructure is automated, frictionless, and capable of managing the next generation of cloud computing.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Act as an AI Platform TL, driving innovation on GKE AI/ML infra reliability, efficiency and scale.
- Engage with Megawhale customers to ensure their success/growth on GKE/Google Cloud Platform (GCP).
- Identify gaps and drive improvement across entire GKE/Google Compute Engine (GCE) stack.
- Help shape the culture of the team to be a high executing team that is fun to work with.
- Lead the technical goal for GKE AI/ML workload efficiency and optimization, setting the direction.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in cloud computing and building operating systems.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science, Machine Learning, or a related field.
- 5 years of experience with distributed systems, data analytics, and applied ML.
- Experience with AI infrastructure (GPU/TPU, Networking, etc.) management and orchestration.
- Experience with machine learning infrastructure, large-scale distributed systems, and Cloud.
- Excellent problem-solving, code and model tuning skills.
ABOUT THE JOB
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Kubernetes Engine (GKE) AI Platform team is responsible for managing containerized workloads and services on the AI infrastructure (GPUs/TPUs) using Kubernetes (K8s)—an open-source platform. As GKE experiences exponential growth in the AI, ML, and GenAI sectors, our team ensures that this infrastructure is automated, frictionless, and capable of managing the next generation of cloud computing.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Act as an AI Platform TL, driving innovation on GKE AI/ML infra reliability, efficiency and scale.
- Engage with Megawhale customers to ensure their success/growth on GKE/Google Cloud Platform (GCP).
- Identify gaps and drive improvement across entire GKE/Google Compute Engine (GCE) stack.
- Help shape the culture of the team to be a high executing team that is fun to work with.
- Lead the technical goal for GKE AI/ML workload efficiency and optimization, setting the direction.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding Tech Lead Jobs
Translate your credentials into U.S. engineering standards
Pull up the O*NET profile for Tech Lead or Software Development Manager to see exactly which competencies U.S. employers list. Frame your CV around those terms before you apply so hiring managers recognize the match immediately.
Verify your degree field aligns with specialty occupation rules
The H-1B1 visa requires a specialty occupation, meaning your bachelor's degree must directly relate to the Tech Lead role. A computer science or engineering degree is clean, but a business or economics degree may require a written explanation from your employer.
Target employers already filing Labor Condition Applications
Use the OFLC Wage Search to confirm that a prospective employer has certified LCAs for tech roles in the past. Companies with LCA history have already cleared DOL compliance and are far more likely to move quickly on your H-1B1 visa offer.
Search for H-1B1 Chile Tech Lead roles on Migrate Mate
Migrate Mate filters jobs by verified H-1B1 Chile sponsorship history, so you're not cold-applying to companies that have never filed. Set your role and visa type once, and the platform surfaces employers whose LCA filings already cover Tech Lead positions.
Confirm your job offer letter specifies specialty occupation language
The consular officer reviewing your H-1B1 visa application will look for a clear statement that the role requires at least a bachelor's degree in a specific technical field. Ask your employer to include that language explicitly, not just a job title and salary.
Use consulate processing to your advantage on timing
Unlike H-1B, you don't wait for USCIS to approve a petition before booking your interview. Once the LCA is certified and the DS-160 is submitted, you can schedule your Santiago consulate appointment and start within days of a visa stamp.
Frequently Asked Questions
Does a Tech Lead role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes, Tech Lead roles qualify as specialty occupations because they require at least a bachelor's degree in computer science, software engineering, or a directly related technical field. The employer confirms this in the Labor Condition Application. If your job description mixes technical leadership with general management, the employer should emphasize the engineering oversight responsibilities to keep the application clean.
How does the H-1B1 Chile visa compare to the H-1B for Tech Lead positions?
For Chilean nationals, the H-1B1 Chile visa avoids the H-1B lottery entirely and is processed at the U.S. consulate in Santiago rather than through USCIS. The annual cap is 1,400 visas and has not historically filled. The main trade-off is that the H-1B1 doesn't permit dual intent, so it's a nonimmigrant visa, whereas H-1B holders can pursue permanent residence concurrently.
Where can I find Tech Lead jobs that already offer H-1B1 Chile visa sponsorship?
Migrate Mate is the recommended platform for this search. It shows employers with verified H-1B1 Chile filing history, so you can target companies that have already demonstrated willingness and ability to sponsor the visa. Applying to employers with active LCA filings for tech roles significantly reduces the time from offer to consulate appointment.
What does the employer have to file for an H-1B1 Chile Tech Lead application?
The employer files a Labor Condition Application with DOL and gets it certified, typically within seven business days. Unlike H-1B, no I-129 petition goes to USCIS. You then complete the DS-160, pay the consular fee, and attend the interview in Santiago. The employer's main ongoing obligations are paying the prevailing wage and maintaining the certified LCA on file.
Can I switch Tech Lead employers while on an H-1B1 Chile visa?
Yes, but there's no portability provision like H-1B's AC21. Your H-1B1 status is tied to the sponsoring employer and the certified LCA. If you change employers, the new company must file a fresh LCA and you'll need a new H-1B1 visa stamp before re-entering, or a change of status if you're already inside the U.S. Plan the transition timeline carefully with your new employer.