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Remote Lead Full Stack Engineer Jobs in Nevada (NOW HIRING)

Generac

Senior Controls Engineer

Las Vegas, NV · On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... Experience managing technical projects through the full lifecycle, including initiation, planning ...

EnerSys

Application Security Engineer (REMOTE)

Henderson, NV · Remote

$117K - $146K/yr

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Demonstrated experience building and scaling an application security program, either as the lead or ...

Switch, Inc.

Controls Engineer III

Reno, NV · On-site +1

$83K - $107K/yr

Lead assigned controls projects, including planning, execution, and quality assurance ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Switch

Controls Engineer III

Sparks, NV · On-site +1

$83K - $108K/yr

Lead assigned controls projects, including planning, execution, and quality assurance ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Ocean Spray

Environmental Engineer

Las Vegas, NV · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Lead the preparation, submission, and renewal of environmental permits (air, water, wastewater ...

Ocean Spray

Environmental Engineer

Henderson, NV · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Lead the preparation, submission, and renewal of environmental permits (air, water, wastewater ...

TensorWave

Staff Database Engineer

Las Vegas, NV · On-site +1

... of fighting their stack. Because breakthrough AI should move at the speed of ideas, not ... Act as the technical lead for major database incidents. * Own or support triage, root cause ...

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Remote Lead Full Stack Engineer information

See Nevada salary details

$45.3K

$137.2K

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How much do remote lead full stack engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote lead full stack engineer in Nevada is $137,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $160,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lead Full Stack Engineer, and why are they important?

To thrive as a Remote Lead Full Stack Engineer, you need advanced proficiency in both front-end and back-end development, experience with cloud platforms, and a degree in computer science or related field. Expertise in tools like React, Node.js, Docker, AWS, and version control systems, as well as familiarity with CI/CD pipelines, is typically required. Strong leadership, effective communication, and problem-solving skills are essential for managing distributed teams and guiding technical strategy. These skills ensure the successful delivery of scalable solutions, cohesive team collaboration, and alignment with business goals in a remote environment.

How does a Remote Lead Full Stack Engineer typically collaborate with distributed team members across different time zones?

As a Remote Lead Full Stack Engineer, effective collaboration with distributed team members often relies on leveraging asynchronous communication tools, regular stand-up meetings, and clear documentation practices. You'll coordinate project tasks, provide technical guidance, and review code through platforms like Slack, Jira, and GitHub, ensuring all team members stay aligned despite time zone differences. Building trust and maintaining open communication are essential, and it's common to schedule overlapping work hours for critical discussions or decision-making. This structure allows for flexibility while maintaining productivity and team cohesion.

What are Remote Lead Full Stack Engineers?

Remote Lead Full Stack Engineers are experienced software professionals who oversee and guide development teams while working from a remote location. They are proficient in both frontend and backend technologies, enabling them to manage the entire technology stack of a project. In addition to writing and reviewing code, they are responsible for architectural decisions, mentoring junior developers, and ensuring that the team delivers high-quality software on schedule. Their leadership skills are crucial for coordinating remote teams and facilitating effective communication. This role typically requires strong technical expertise, experience in project management, and excellent problem-solving abilities.
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Remote Lead Full Stack Engineer jobs near you

Staff Infrastructure Engineer - Kubernetes Platform

TensorWave

Las Vegas, NV • On-site, Remote

$102K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We're looking for a Kubernetes Platform Staff Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for owning the design, evolution, and operational reliability of our Kubernetes control plane architecture, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
Platform Architecture & Strategy
  • Design and evolve Kubernetes control plane architecture across regions
  • Define and implement multi-tenant cluster models, including shared control planes, virtual cluster approaches (e.g., vcluster, Kamaji)
  • Drive transition from standalone clusters to regionally managed platform models
  • Define standards for isolation boundaries, resource segmentation, policy enforcement

Platform Ownership & Operations
  • Own the reliability and behavior of Kubernetes platforms in production
  • Participate in on-call rotation and lead incident response
  • Diagnose and resolve control plane instability, API server saturation, scheduling and resource contention issues
  • Ensure consistent lifecycle management across clusters - provisioning, upgrades, scaling

Multi-Region Scaling
  • Design and implement strategies for regional scaling, multi-data center cluster deployments
  • Ensure consistent behavior and reliability across environments
  • Define cluster topology and failure domain strategies

Networking & Data Plane Integration
  • Design ingress and egress architectures at cluster level and regional level
  • Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred)
  • Collaborate with network engineering on high-performance networking integration

Observability & Reliability
  • Improve observability across control plane components, cluster health and performance
  • Define and implement resilience strategies aligned with platform goals
  • Lead root cause analysis for production incidents

Cross-Team Collaboration
  • Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)
  • Align Kubernetes platform design with underlying infrastructure capabilities

Who You Are
Required Qualifications
  • 7+ years of experience in infrastructure, platform engineering, or distributed systems
  • Deep experience operating Kubernetes at scale in production environments
  • Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred
  • Proven experience scaling Kubernetes across:
    • Multiple clusters
    • Multiple regions or data centers
  • Strong understanding of Kubernetes internals:
    • API server
    • Scheduler
    • Controller manager
    • etcd
  • Experience designing or evolving:
    • Control plane architectures
    • Multi-tenant cluster models

Technical Depth
  • Strong Linux systems expertise
  • Deep troubleshooting ability across:
    • Kubernetes
    • Container runtime
    • Networking stack
  • Experience with CNI plugins (Cilium preferred)
  • Strong understanding of:
    • Networking and traffic patterns
    • Resource isolation and scheduling

Preferred Qualifications
  • Experience with virtual cluster technologies (vcluster, Kamaji, or similar)
  • Experience supporting GPU workloads in Kubernetes
  • Familiarity with:
    • NUMA-aware scheduling
    • Topology-aware workloads
  • Awareness of RDMA and high-throughput networking environments
  • Experience with observability platforms (Prometheus, Grafana, etc.)

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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