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Amazon Network Development Engineer Jobs in Spring, TX

Fervo Energy Company

Senior Network Engineer

Houston, TX · On-site

$99K - $136K/yr

... early-stage development to full commercial operations. Joining Fervo means operating at the ... Position Description The Senior Network Engineer is responsible for the architecture ...

Pro Energy Services

Network Engineer, OT

Houston, TX · On-site

Network Engineer, OT About PROENERGY PROENERGY is an engineering, R&D, and manufacturing powerhouse. The company addresses every need for fast-start power generation: turbine and package ...

Fervo Energy

Senior Network Engineer

Houston, TX · On-site

$99K - $136K/yr

... early-stage development to full commercial operations. Joining Fervo means operating at the ... Position Description The Senior Network Engineer is responsible for the architecture ...

Ezee Fiber

Senior Engineer, Network Engineering

Houston, TX · On-site

$99K - $136K/yr

... Engineer, Senior Network Engineering to lead the design, implementation, and ongoing optimization ... Development: Define, standardize, and maintain comprehensive documentation and processes for ...

Amazon

Industrial Designer, Amazon Prime Air

Houston, TX

$123K/yr

Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been ... Our ideal candidate will have experience at various stages of development including, but not ...

Amazon

Industrial Designer, Amazon Prime Air

Houston, TX

$123K/yr

Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been ... Our ideal candidate will have experience at various stages of development including, but not ...

Ezee Fiber

Senior Engineer, Network Engineering

Houston, TX · On-site

$99K - $136K/yr

... Engineer, Senior Network Engineering to lead the design, implementation, and ongoing optimization ... Documentation & Process Development: Define, standardize, and maintain comprehensive documentation ...

Black & Veatch

Senior Network Engineer

Houston, TX · On-site

$99K - $136K/yr

With flexible ways of working and meaningful development opportunities, you'll build a career you can be proud to stand behind. The Opportunity The Senior Network Engineer supports the Senior Network ...

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All JobsAmazon Network Development Engineer JobsAmazon Network Development Engineer Jobs in Spring, TX

Amazon Network Development Engineer information

See Spring, TX salary details

$27.6K

$97K

$140.6K

How much do amazon network development engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for amazon network development engineer in Spring, TX is $97,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $118,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Network Development Engineer, and why are they important?

To thrive as an Amazon Network Development Engineer, you need a strong background in computer networking, troubleshooting, and scripting, typically supported by a degree in computer science or a related field. Expertise with network protocols, automation tools (such as Python or Perl), and familiarity with AWS cloud infrastructure and Cisco or Juniper certifications are commonly required. Excellent problem-solving, communication, and teamwork skills set outstanding candidates apart in this role. These qualifications are essential for maintaining Amazon's complex global network infrastructure, ensuring reliability, scalability, and rapid innovation.

What does an Amazon Network Development Engineer do?

An Amazon Network Development Engineer is responsible for designing, implementing, and maintaining Amazon's large-scale network infrastructure. Their work ensures the reliability, scalability, and security of the network systems that support Amazon’s cloud services, retail operations, and other business units. They troubleshoot complex network issues, automate processes, and collaborate with other teams to optimize performance. This role often involves working with advanced networking technologies and requires strong problem-solving skills.

What is the difference between Amazon Network Development Engineer vs Amazon Network Operations Engineer?

AspectAmazon Network Development EngineerAmazon Network Operations Engineer
Primary FocusDesigning, developing, and implementing network infrastructure and solutionsMaintaining, monitoring, and troubleshooting existing network systems
Required SkillsNetwork architecture, protocol knowledge, scripting, and development skillsNetwork troubleshooting, system monitoring, and operational procedures
Work EnvironmentDesign labs, development teams, project planningData centers, operational teams, incident response
Common CertificationsCCNA, CCNP, Cisco certifications, CCIE (preferred)CCNA, CCNP, Cisco certifications

Amazon Network Development Engineers focus on creating and improving network infrastructure, while Amazon Network Operations Engineers handle the ongoing maintenance and troubleshooting of existing networks. Both roles require strong networking skills and certifications, but their daily tasks and objectives differ significantly.

What are some typical challenges faced by Amazon Network Development Engineers when deploying large-scale network solutions?

Amazon Network Development Engineers often encounter challenges such as designing scalable solutions that can handle rapid growth, troubleshooting complex network issues across distributed environments, and maintaining high availability while implementing new technologies. They must also coordinate closely with software developers, system engineers, and operations teams to ensure seamless integration and minimize downtime. Staying up-to-date with evolving network protocols and security standards is essential to address these challenges effectively.
What are popular job titles related to Amazon Network Development Engineer jobs in Spring, TX? For Amazon Network Development Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Amazon Network Development Engineer jobs in Spring, TX look for? The top searched job categories for Amazon Network Development Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Amazon Network Development Engineer jobs? Cities near Spring, TX with the most Amazon Network Development Engineer job openings:
Amazon Network Development Engineer jobs near you
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Houston, TX

$193K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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