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Computer Programmer Jobs in Shelby, NC (NOW HIRING)

LNS Group

Electrical Engineer

Kings Mountain, NC · On-site

Computer Skills To perform this job successfully, an individual should have knowledge of Design software and Spreadsheet software. PLC programming, HMI programming, and/or Drive Application ...

IFab Corporation

Packaging Engineer

Gastonia, NC · On-site

Engineering Employment Type: Full-Time About IFAB Corp. IFAB Corp. is a leading metal fabrication ... Create and maintain packaging drawings using CAD. * Develop and update Work Instructions (WIs ...

Industrial Fabricators

Packaging Engineer

Gastonia, NC · On-site

Engineering Employment Type: Full-Time About IFAB Corp. IFAB Corp. is a leading metal fabrication ... Create and maintain packaging drawings using CAD. * Develop and update Work Instructions (WIs ...

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All JobsComputer Programmer JobsComputer Programmer Jobs in Shelby, NC

Computer Programmer information

See Shelby, NC salary details

$31.3K

$61.6K

$90.5K

How much do computer programmer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer programmer in Shelby, NC is $61,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $75,800.00 per year, depending on experience, location, and employer.

What are computer programmers?

Computer programmers are professionals who write, test, and maintain the code that allows software programs and applications to function. They translate designs and instructions created by software engineers or developers into logical sequences that computers can follow. Programmers use various programming languages, such as Python, Java, or C++, to create and troubleshoot software to ensure it runs smoothly. Their work is essential to the development of websites, apps, operating systems, and a wide range of digital tools.

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

To thrive as a Computer Programmer, you need strong proficiency in programming languages (such as Python, Java, or C++), problem-solving skills, and a relevant degree or equivalent experience. Familiarity with software development tools, version control systems like Git, and sometimes certifications in specific languages or frameworks are commonly required. Attention to detail, communication skills, and the ability to work both independently and collaboratively are standout soft skills in this field. These competencies ensure high-quality, efficient code development and effective teamwork in rapidly evolving technical environments.

What Does a Computer Programmer Do?

A computer programmer designs, tests, writes, debugs, and maintains the computer program code. The coding language is written for the computer to be able to comprehend it and take specific actions according to those commands. Computer programmers can work with existing code or create something entirely new. The objective of coding is to develop programs that act on specific controls and behaviors. Coders need to be able to work with specialized algorithms, logic, and app domain, as well. But the other key goal of a computer programmer is to design interfaces that regular non-technical users can easily understand and use.

What is the difference between Computer Programmer vs Software Developer?

AspectComputer ProgrammerSoftware Developer
CredentialsTypically requires a bachelor's degree in computer science or related fieldUsually requires a bachelor's degree, often with additional experience or certifications
Work EnvironmentOften works in coding, debugging, and maintaining softwareDesigns, develops, tests, and maintains software applications
Industry UsageCommonly employed in IT, software firms, and tech departmentsFound in a wide range of industries including tech, finance, healthcare

While both roles involve coding and software creation, Computer Programmers primarily focus on writing and debugging code based on specifications, whereas Software Developers are involved in designing and building complete software solutions. The roles often overlap, but Developers typically have broader responsibilities in the software development lifecycle.

What are some typical challenges computer programmers face when working on large team projects?

Computer programmers working on large team projects often encounter challenges such as coordinating code changes, maintaining consistent coding standards, and managing dependencies between different components. Effective communication and the use of version control systems like Git are essential to prevent conflicts and ensure smooth collaboration. Additionally, programmers must often adapt to varying coding styles and workflows, making flexibility and a collaborative mindset important for success in team environments.
More about Computer Programmer jobs
What cities near Shelby, NC are hiring for Computer Programmer jobs? Cities near Shelby, NC with the most Computer Programmer job openings:
Computer Programmer jobs near you
Infographic showing various Computer Programmer job openings in Shelby, NC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $61,597 per year, or $29.6 per hour.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Forest City, NC

$193K/yr

Full-time

Posted 9 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 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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