Technician Jobs at Reflection AI with Visa Sponsorship
Technician roles at Reflection AI sit at the intersection of cutting-edge AI infrastructure and hands-on technical execution. The company has a track record of sponsoring international candidates across multiple visa categories, making it a realistic target if you're on F-1 OPT, TN, or E-3 status.
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Get Access To All JobsOur Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
Reflection.AI is looking for a Member of Technical Staff - Infrastructure Security to secure our geographically diverse multi-cloud Kubernetes and cloud environments. In this role, you’ll be expected to jump head first into the hands-on engineering work of building infrastructure security controls from the ground up, outline a long term infrastructure security vision that ensures the security and integrity of our core technology, and define the roadmap that will fulfill your vision.
Key Responsibilities
- Audit and harden geographically disparate multi-cloud Kubernetes clusters
- Unify and harden authentication across Kubernetes clusters
- Design and implement centralized, auditable Kubernetes authorization policy enforcement
- Automate monitoring and benchmarking of Kube cluster security posture
- Develop defense-in-depth security boundaries around containerized workloads in Kubernetes clusters
- Build and deploy automated tooling to support incident detection & response for Kubernetes clusters and containerized workloads
Required Qualifications
- Deep experience securing Kubernetes clusters and hardening containerized workloads
- Understanding of managed Kube cluster services such as GKE
- Comfort working with CI/CD systems such as ArgoCD
- Familiarity with Kubernetes orchestration systems such as Rancher and Helm
- Experience hardening artifact repositories to ensure secure build artifact provenance spanning image builds, storage, and deployment
- Comfort defining and implementing concrete security improvements based on nebulous or unclear security requirements
- Experience working with infrastructure-as-code systems such as Terraform or Pulumi
- Experience working with major cloud providers such as GCP, AWS, and/or Azure
- Experience working with neocloud GPU providers such as VoltagePark, GMI Cloud, Crusoe, Anyscale, Together.ai, etc.
- Experience coding with Python or Golang
- Recent hands-on engineering experience
- Proven track record of building infrastructure security controls from 0 to 1
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
Reflection.AI is looking for a Member of Technical Staff - Infrastructure Security to secure our geographically diverse multi-cloud Kubernetes and cloud environments. In this role, you’ll be expected to jump head first into the hands-on engineering work of building infrastructure security controls from the ground up, outline a long term infrastructure security vision that ensures the security and integrity of our core technology, and define the roadmap that will fulfill your vision.
Key Responsibilities
- Audit and harden geographically disparate multi-cloud Kubernetes clusters
- Unify and harden authentication across Kubernetes clusters
- Design and implement centralized, auditable Kubernetes authorization policy enforcement
- Automate monitoring and benchmarking of Kube cluster security posture
- Develop defense-in-depth security boundaries around containerized workloads in Kubernetes clusters
- Build and deploy automated tooling to support incident detection & response for Kubernetes clusters and containerized workloads
Required Qualifications
- Deep experience securing Kubernetes clusters and hardening containerized workloads
- Understanding of managed Kube cluster services such as GKE
- Comfort working with CI/CD systems such as ArgoCD
- Familiarity with Kubernetes orchestration systems such as Rancher and Helm
- Experience hardening artifact repositories to ensure secure build artifact provenance spanning image builds, storage, and deployment
- Comfort defining and implementing concrete security improvements based on nebulous or unclear security requirements
- Experience working with infrastructure-as-code systems such as Terraform or Pulumi
- Experience working with major cloud providers such as GCP, AWS, and/or Azure
- Experience working with neocloud GPU providers such as VoltagePark, GMI Cloud, Crusoe, Anyscale, Together.ai, etc.
- Experience coding with Python or Golang
- Recent hands-on engineering experience
- Proven track record of building infrastructure security controls from 0 to 1
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
See all 37+ Technician at Reflection AI jobs
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Get Access To All JobsTips for Finding Technician Jobs at Reflection AI Jobs
Align your credentials to AI infrastructure roles
Reflection AI builds frontier AI systems, so technician roles typically require hands-on experience with hardware setup, server configuration, or lab environments. Document certifications and project work that show direct exposure to large-scale compute infrastructure before you apply.
Target roles with hardware or lab responsibilities explicitly listed
Technician openings at AI companies vary widely. Prioritize postings that mention rack installation, cooling systems, GPU clusters, or lab operations. These signal roles where your hands-on background is the differentiator, not just software familiarity.
Request written confirmation of sponsorship intent early
Before investing time in multi-round technical interviews, ask the recruiter to confirm which visa categories the role supports. For TN candidates, ensure the offered job title maps cleanly to a USMCA-recognized profession category to avoid complications at the border.
Use Migrate Mate to filter Reflection AI technician openings by visa type
Filtering by sponsor type saves significant research time. Migrate Mate lets you surface active Reflection AI technician postings alongside their sponsorship history, so you're applying to roles where international candidates have a realistic path to authorization.
Technician at Reflection AI jobs are hiring across the US. Find yours.
Find Technician at Reflection AI JobsFrequently Asked Questions
Does Reflection AI sponsor H-1B visas for Technicians?
Reflection AI's documented sponsorship for Technician roles covers E-3, F-1 OPT, F-1 CPT, and TN visa categories. H-1B sponsorship for this specific role has not been a consistent pattern in their filings. If H-1B is your only viable pathway, clarify this directly with the recruiter before progressing through the interview process.
How do I apply for Technician jobs at Reflection AI?
Applications go through Reflection AI's careers page. Before applying, review the job description closely to confirm the role involves the technical functions your visa category supports. Migrate Mate is a practical starting point to browse current Technician openings at Reflection AI filtered by visa sponsorship type, so you're only spending time on roles with a realistic path forward.
Which visa types are commonly used for Technician roles at Reflection AI?
Reflection AI sponsors E-3 visas for Australian citizens, TN status for Canadian and Mexican nationals under the USMCA, and F-1 OPT or CPT for students currently enrolled in or recently graduated from a U.S. degree program. Each category has different authorization timelines and employer obligations, so confirm which applies to your situation before accepting an offer.
What qualifications and experience does Reflection AI expect for Technician roles?
Technician positions at an AI infrastructure company like Reflection AI typically require hands-on experience with compute hardware, server or rack assembly, network cabling, or lab operations. A relevant technical degree or vocational certification strengthens your application. For TN or E-3 eligibility, your degree field must also align with the job duties in a way USCIS or CBP would recognize as a specialty occupation.
How do I understand the timeline from offer to work authorization at Reflection AI?
Timeline depends on your visa category. E-3 applicants attend a consular interview in Australia and typically receive a decision within a few business days post-interview. TN status for Canadians can be granted at the port of entry. F-1 OPT requires USCIS processing, which can take two to three months, so apply for your EAD as early as 90 days before your program end date.
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