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Network Automation Engineer Intern Jobs in Bend, OR

SOLV Energy

Cloud Systems Engineer

Bend, OR · On-site

$58.75 - $78.50/hr

The Cloud Systems Engineer will will manage, maintain, and support SOLV Energy's Azure and AWS ... enable automation. * ExpertisewithEntraIDAdministration * Expertisewithnetworking and networking ...

Mid Oregon Credit Union

Cloud Engineer

Bend, OR

$59.25 - $79/hr

Build and maintain Azure environments, networking, access controls, firewalls, DNS, and related ... Develop and maintain CI/CD pipelines, deployment automation, and Infrastructure as Code using ...

Mid Oregon Credit Union

Cloud Engineer

Bend, OR · On-site

$59.25 - $79/hr

Build and maintain Azure environments, networking, access controls, firewalls, DNS, and related ... Develop and maintain CI/CD pipelines, deployment automation, and Infrastructure as Code using ...

Mid Oregon Credit Union

Cloud Engineer

Bend, OR · On-site

$59.25 - $79/hr

Build and maintain Azure environments, networking, access controls, firewalls, DNS, and related ... Develop and maintain CI/CD pipelines, deployment automation, and Infrastructure as Code using ...

SOLV Energy

SCADA Support Engineer

Bend, OR · On-site

$86K - $107K/yr

Document existing equipment and functionality as it relates to the PV plant communications network ... Understanding of industrial automation protocols (Modbus RTU/TCP, DNP3, OPC UA and DA)

SOLV Energy

SCADA Support Engineer

Bend, OR · On-site +1

$86K - $107K/yr

Document existing equipment and functionality as it relates to the PV plant communications network ... Understanding of industrial automation protocols (Modbus RTU/TCP, DNP3, OPC UA and DA)

TekWissen LLC

IT Infrastructure Project Manager

Bend, OR · On-site

$50 - $65/hr

Define and manage IT/OT integration strategy across engineering, automation, and IT teams * Ensure ... Expertise in network infrastructure, data centers, and enterprise systems (e.g., SAP ERP) * ...

EOS

Data Center Operations Leader

Prineville, OR

Lead daily operations across multiple data center campuses, including Network Operations, Field ... Drive Lean process improvements, automation, standardization, and operational efficiencies.

Tires Les Schwab

Lead Pricing Analyst

Bend, OR

... network liability while minimizing gross profit erosion. 15% - Team Mentorship & Process Automation ... Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ...

Les Schwab Tire Center

Lead Pricing Analyst

Bend, OR · On-site

... network liability while minimizing gross profit erosion. 15% - Team Mentorship & Process Automation ... Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ...

All JobsNetwork Automation Engineer Intern JobsNetwork Automation Engineer Intern Jobs in Bend, OR

Network Automation Engineer Intern information

See Bend, OR salary details

$11

$20

$31

How much do network automation engineer intern jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for network automation engineer intern in Bend, OR is $20.38, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $22.07 per hour, depending on experience, location, and employer.

What does a network automation engineer intern do?

A Network Automation Engineer Intern assists with automating network operations and processes using programming and scripting languages. Their responsibilities often include writing scripts to configure network devices, testing automation solutions, and working alongside senior engineers to optimize network performance. Interns also learn about network protocols, monitoring tools, and best practices in network security. The role offers hands-on experience in both networking and software development, preparing interns for advanced roles in network engineering.

What are the key skills and qualifications needed to thrive as a network automation engineer intern, and why are they important?

To thrive as a Network Automation Engineer Intern, you need a solid understanding of networking fundamentals, scripting languages (such as Python), and progress toward a degree in computer science or a related field. Familiarity with automation tools like Ansible, REST APIs, and version control systems such as Git is typically expected. Strong analytical thinking, a collaborative mindset, and effective communication skills help interns excel in dynamic team environments. These skills and qualities are crucial for efficiently automating network tasks, troubleshooting issues, and contributing to modern, scalable network infrastructures.

What types of projects and technologies can a network automation engineer intern expect to work with during their internship?

As a Network Automation Engineer Intern, you will typically assist with automating network configurations, troubleshooting, and monitoring tasks using tools like Python, Ansible, and network simulation platforms. Interns often collaborate with senior engineers to develop or improve scripts that streamline network operations and enhance reliability. You may also participate in team meetings to discuss automation strategies and gain exposure to real-world networking environments, which is invaluable for building hands-on experience and understanding industry best practices.

What is the difference between Network Automation Engineer Intern vs Network Engineer Intern?

AspectNetwork Automation Engineer InternNetwork Engineer Intern
Required CredentialsBasic networking certifications (e.g., Cisco CCNA), familiarity with automation toolsBasic networking knowledge, certifications like CCNA or CompTIA Network+
Work EnvironmentFocus on automation scripting, network management, and troubleshootingNetwork setup, configuration, and maintenance tasks
Industry UsageUsed in companies emphasizing network automation and SDNCommon in traditional network infrastructure roles
Search & Comparison IntentInterested in automation-focused networking rolesLooking for general network internship opportunities

The main difference between a Network Automation Engineer Intern and a Network Engineer Intern lies in their focus. The automation intern emphasizes scripting, automation tools, and network management, while the network intern concentrates on configuring and maintaining network hardware. Both roles require foundational networking knowledge, but the automation role leans more towards programming and automation technologies.

What are popular job titles related to Network Automation Engineer Intern jobs in Bend, OR? For Network Automation Engineer Intern jobs in Bend, OR, the most frequently searched job titles are:
What job categories do people searching Network Automation Engineer Intern jobs in Bend, OR look for? The top searched job categories for Network Automation Engineer Intern jobs in Bend, OR are:
What cities near Bend, OR are hiring for Network Automation Engineer Intern jobs? Cities near Bend, OR with the most Network Automation Engineer Intern job openings:
Network Automation Engineer Intern jobs near you
Infographic showing various Network Automation Engineer Intern job openings in Bend, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,384 per year, or $20.4 per hour.

Network Engineer, AI Infrastructure Repair

Meta

Prineville, OR

$193K/yr

Full-time

Re-posted yesterday

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 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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