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Reliability Engineer Jobs in Evans, GA (NOW HIRING)

DevOps Engineer - 27404

Augusta, GA · On-site

$41.50 - $57/hr

They are seeking a highly motivated and experienced DevOps Engineer responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of ...

DevOps Engineer (7620)

Augusta, GA · Hybrid

$156K - $213K/yr

... Engineer to join our fast-paced development team. T he ideal candidate will have strong working ... Automate deployment processes and ensure reliability and scalability of services * Manage and ...

The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all of the ...

DevOps Engineer

Augusta, GA · On-site

$300K/yr

... s Engineer to support a fast-paced software development and infrastructure team. The ideal ... Automate deployment processes and ensure reliability and scalability of services. * Manage and ...

DevOps Engineer

Augusta, GA · On-site

$300K/yr

... s Engineer to support a fast-paced software development and infrastructure team. The ideal ... Automate deployment processes and ensure reliability and scalability of services. * Manage and ...

DevOps Engineer (9266)

Augusta, GA · On-site

$123K - $160K/yr

... s Engineer will be responsible for implementing infrastructure, automating deployment processes ... Automate deployment processes and ensure reliability and scalability of services * Manage and ...

DevOps Engineer

Augusta, GA · On-site

$300K/yr

... s Engineer to support a fast-paced software development and infrastructure team. The ideal ... Automate deployment processes and ensure reliability and scalability of services. * Manage and ...

GENERAL The Test and Validation Engineer is responsible for ensuring quality designs through ... Drive culture of traceable test acceptance criteria using reliability and confidence in designs

This position requires a broad knowledge of engineering principles and practices, and candidates ... reliability, fairness, and honesty. * Problem-solving - We make it a priority to help guide ...

Engineer process solutions and reliability improvement from concept to network implementation. * Monitor Industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, AS-I, motor control ...

Automation and Controls Engineer

Aiken, SC · On-site

$71K - $91K/yr

Reliability Champion for Motor Circuit Analysis and thermography PdM programs * Support break down ... Bachelor's Degree in Engineering * Five years of automation and control engineering experience in a ...

Showing results 21-40

Reliability Engineer information

See Evans, GA salary details

$51.6K

$99.8K

$119.3K

How much do reliability engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for reliability engineer in Evans, GA is $99,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $109,200.00 per year, depending on experience, location, and employer.

What is a reliability engineer?

Reliability Engineers are professionals responsible for ensuring that systems, equipment, or processes function consistently and efficiently over time. They analyze data, identify potential points of failure, and develop maintenance strategies to improve system reliability and minimize downtime. Their work spans various industries, including manufacturing, energy, and technology, and often involves collaborating with design, operations, and maintenance teams. By implementing reliability-centered maintenance and predictive analysis, they help organizations save costs and increase safety.

What does a reliability engineer do?

As a reliability engineer, your duties are to test and evaluate the manufacturing of products and components and ensure that the procedures are efficient and do not lead to abnormally high maintenance or operational costs. Your other responsibilities are to find solutions to product reliability risks. You may manage risk in a supply chain, develop loss prevention strategies, and track the entire lifecycle of product development, from building prototypes to moving a product into full-scale production. You analyze information from department heads and recommend strategies to reduce risk and ensure that the product works reliably.

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

To thrive as a Reliability Engineer, you need a solid background in engineering principles, failure analysis, and reliability modeling, typically with a degree in engineering or a related field. Familiarity with tools such as FMEA, Root Cause Analysis (RCA), reliability-centered maintenance (RCM) software, and certifications like Certified Reliability Engineer (CRE) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure systems are dependable, downtime is minimized, and organizational performance and safety are optimized.

What are some typical challenges reliability engineers face when implementing preventive maintenance strategies?

Reliability Engineers often encounter challenges such as balancing preventive maintenance schedules with production demands, ensuring buy-in from operations teams, and accurately predicting equipment failures. They must analyze large sets of historical data to identify trends and root causes, which can be complex in facilities with diverse machinery. Collaboration with maintenance, operations, and engineering teams is essential to develop effective strategies that minimize downtime while optimizing resources.

What is the difference between Reliability Engineer vs Maintenance Engineer?

AspectReliability EngineerMaintenance Engineer
CredentialsTypically requires engineering degree, certifications in reliability or asset managementOften requires engineering or technical diploma, certifications in maintenance or equipment repair
Work EnvironmentFocuses on analysis, design, and improvement of systems for reliabilityHands-on maintenance, repair, and troubleshooting of equipment
Industry UsageCommon in manufacturing, energy, aerospace, and industrial sectorsPrevalent in manufacturing, facilities, and industrial plants

Reliability Engineers focus on designing and improving systems to prevent failures, using data analysis and modeling. Maintenance Engineers perform hands-on repairs and upkeep of equipment to ensure operational continuity. While both roles aim to optimize equipment performance, Reliability Engineers work proactively on system reliability, whereas Maintenance Engineers handle reactive and scheduled maintenance tasks.

Are reliability engineers in demand?

Reliability engineers are in high demand across industries such as manufacturing, energy, and aerospace due to their role in improving system performance and reducing downtime. Employers seek professionals with skills in data analysis, failure modes, and maintenance strategies, often requiring certifications like Certified Reliability Engineer (CRE). The job outlook is positive, with steady growth expected as companies prioritize operational efficiency and risk management.

How much do reliability engineers get paid?

Reliability engineers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Senior or specialized reliability engineers with certifications and advanced skills can earn higher salaries, often exceeding $120,000 annually.

What cities near Evans, GA are hiring for Reliability Engineer jobs?

Cities near Evans, GA with the most Reliability Engineer job openings:

Infographic showing various Reliability Engineer job openings in Evans, GA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $99,847 per year, or $48 per hour.

Network Engineer, AI Infrastructure Repair

Meta

Aiken, SC

$193K/yr

Full-time

Re-posted 16 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 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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