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W2 - 10+ Senior Quality Engineer (Mobile)

Phoenix, AZ · On-site

$87K - $119K/yr

... H1B and TN visa candidates. Any applicant needs to be on your W2 . Senior Quality Engineer (Mobile ... Qualifications: · Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

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What are the key skills and qualifications needed to thrive in the H1B Computer Science position, and why are they important?

To excel in a Computer Science role under the H1B visa status, candidates typically need a strong background in programming, algorithms, data structures, and a bachelor's or higher degree in computer science or a related field. Familiarity with industry-standard languages (such as Java, Python, or C++), software development tools, and certifications like AWS Certified Developer or Microsoft Certified: Azure Developer are commonly valued. Strong problem-solving abilities, adaptability, and effective teamwork are essential soft skills in this profession. These skills and qualifications enable professionals to contribute to innovative projects and succeed in collaborative, fast-paced tech environments.

What types of projects or responsibilities can an H1B Computer Science professional expect in a typical workweek?

H1B Computer Science professionals are commonly involved in designing, developing, and testing software applications or systems, participating in code reviews, and collaborating on cross-functional teams to solve complex technical challenges. Depending on the organization, responsibilities may also include maintaining existing codebases, implementing new features, and troubleshooting technical issues. Regular meetings with project managers, QA analysts, and other stakeholders are typical to ensure project goals are met on schedule. This dynamic and collaborative work environment offers valuable opportunities to enhance technical expertise and advance in specialized areas such as cloud computing, data science, or artificial intelligence.

What is an H1B Computer Science job?

An H1B Computer Science job refers to a position in the tech industry that is filled by a foreign worker holding an H1B visa in the United States. The H1B visa is a non-immigrant work visa that allows U.S. employers to hire skilled professionals, including software engineers, data scientists, and IT specialists, for specialized roles. These jobs typically require a bachelor's degree or higher in computer science or a related field. The employer must sponsor the candidate and prove that the role requires specialized knowledge. H1B workers can stay in the U.S. for up to six years, with extensions available in certain cases.

What are the most commonly searched types of H1B Computer Science jobs in Arizona? The most popular types of H1B Computer Science jobs in Arizona are:
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H1B Computer Science jobs near you
Infographic showing various H1B Computer Science job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Cloud Network Engineer

Bright Vision Technologies

Chandler, AZ • Remote

$130K - $180K/yr

Full-time

Posted 10 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled Cloud Network Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Cloud Network Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary: $130K- 180K
Experience: 5+ years
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are looking for a Cloud Network Engineer to design, deploy, and operate service mesh platforms — primarily Istio and Linkerd — that provide secure, observable, and reliable service-to-service communication across our Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and helping application teams reap the benefits of a mesh without paying for unnecessary complexity. The ideal candidate has operated service mesh in production, deeply understands Envoy and the data plane, and brings both platform engineering discipline and pragmatic adoption strategies.
Key Responsibilities
  • Design and operate service mesh platforms — primarily Istio and Linkerd — across multi-cluster Kubernetes environments.
  • Implement and operate mTLS, certificate rotation, and identity propagation across the mesh.
  • Define traffic management policies including routing, retries, circuit breaking, and fault injection.
  • Integrate the mesh with ingress, egress, and API gateway tiers for unified traffic management.
  • Build observability for mesh traffic including distributed tracing, golden signals, and topology visualization.
  • Design multi-cluster and cross-cluster mesh topologies for high availability and tenant isolation.
  • Profile and optimize mesh performance, sidecar resource usage, and control-plane footprint, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency.
  • Develop paved-road adoption patterns and onboarding guides that make mesh adoption easy for app teams.
  • Implement authorization policies and zero-trust patterns at the service mesh layer.
  • Operate service mesh upgrades, control-plane lifecycle management, and configuration governance, applying disciplined release practices that keep the mesh current without disrupting workloads running on top of it.
  • Partner with SRE, platform, and security teams on mesh policy and incident response.
  • Troubleshoot complex networking, mTLS, and traffic issues spanning sidecar and gateway tiers.
  • Maintain runbooks, architecture diagrams, and onboarding materials for the service mesh platform.
  • Stay current with Istio, Linkerd, Cilium, and broader service mesh ecosystem developments.
Required Qualifications
  • Bachelor’s degree in Computer Science or a related field.
  • Five or more years of experience in platform engineering, SRE, or networking roles.
  • Hands-on experience operating Istio or Linkerd in production.
  • Strong understanding of Envoy proxy internals and configuration.
  • Deep Kubernetes expertise including networking, CNI, and ingress.
  • Strong understanding of mTLS, PKI, and certificate lifecycle management.
  • Experience with distributed tracing and observability for mesh traffic.
  • Proficiency in Go or Python for tooling and automation.
  • Strong troubleshooting skills across networking, application, and control plane layers.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with multi-cluster Istio or Linkerd deployments.
  • Familiarity with Cilium service mesh and eBPF networking.
  • Open-source contributions to service mesh projects.
  • Experience with SPIFFE/SPIRE for workload identity.
  • Exposure to zero-trust networking initiatives at enterprise scale.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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