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Computer Programmer Part Time Jobs in Atlanta, GA

Arcadis

Project Roadway Design Engineer

Atlanta, GA · On-site

Proficiency with CAD particularly Microstation and OpenRoads. Familiarity with GDOT design ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Arcadis

Project Roadway Design Engineer

Atlanta, GA · On-site

Proficiency with CAD particularly Microstation and OpenRoads. * Familiarity with GDOT design ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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All JobsComputer Programmer JobsComputer Programmer Part Time JobsComputer Programmer Part Time Jobs in Atlanta, GA

Computer Programmer Part Time information

See Atlanta, GA salary details

$32.4K

$63.7K

$93.7K

How much do computer programmer part time jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer programmer part time in Atlanta, GA is $63,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is a computer programmer part time?

Computer Programmer Part Time jobs involve writing, testing, and maintaining code for software applications, but with reduced hours compared to full-time positions. These roles are ideal for students, freelancers, or individuals seeking flexible schedules. Part-time programmers work on a variety of projects, such as web development, app creation, or database management. They may collaborate with teams or work independently, often remotely. This type of job allows professionals to gain experience and earn income while balancing other commitments.

What does a computer programmer part time do?

As a computer programmer, part-time work is widely available, both in corporate offices and over the internet. In this role, you may help code software, determine the programming steps needed to meet design goals, use your computer to test the existing software, and otherwise help develop and improve software. Part-time computer programmers often work on a corporate network and help engineer solutions to technical problems. In this context, part-time means fewer than 40 hours per week. You may still work 8-hour shifts—or longer if needed—but you won't have a full work week as long as the job remains part-time.

What are the key skills and qualifications needed to thrive as a computer programmer part time, and why are they important?

To thrive as a Computer Programmer Part Time, you need strong programming skills in languages such as Python, Java, or C++, often supported by a degree in computer science or relevant experience. Familiarity with code repositories like Git, integrated development environments (IDEs), and debugging tools is typically required. Time management, problem-solving, and effective communication are standout soft skills in this role. These abilities enable efficient, high-quality code development and collaboration, even within limited working hours.

What are some common challenges faced by part-time computer programmers, and how can they effectively manage their workload?

Part-time computer programmers often face the challenge of balancing project deadlines with limited working hours, which can make time management crucial. They may also need to quickly adapt to different projects or teams due to the flexible nature of part-time roles. To manage their workload effectively, it's important to prioritize tasks, maintain clear communication with supervisors about availability, and use productivity tools to track progress. Collaborative skills and the ability to quickly understand project requirements can also help streamline work and meet goals within a part-time schedule.

What is the difference between Computer Programmer Part Time vs Software Developer Part Time?

AspectComputer Programmer Part TimeSoftware Developer Part Time
Required CredentialsTypically an associate degree or coding bootcamp certificationBachelor's degree in computer science or related field often preferred
Work EnvironmentFreelance, remote, or part-time roles in various industriesSimilar environments, often in tech companies or startups
Employer & Industry UsageUsed across industries for coding and debugging tasksUsed in software development projects, app creation, and system design
Common Search & ComparisonOften compared based on coding tasks and flexibilityCompared for project scope and development responsibilities

Both roles involve coding and software tasks but differ mainly in scope and typical qualifications. Computer Programmers Part Time focus on coding and debugging, often with less formal education, while Software Developers Part Time usually handle broader development responsibilities with more advanced credentials. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

More about Computer Programmer Part Time jobs

What are the most commonly searched types of Computer Programmer jobs in Atlanta, GA?

The most popular types of Computer Programmer jobs in Atlanta, GA are:

What are popular job titles related to Computer Programmer Part Time jobs in Atlanta, GA?

For Computer Programmer Part Time jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Computer Programmer Part Time jobs in Atlanta, GA look for?

The top searched job categories for Computer Programmer Part Time jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Computer Programmer Part Time jobs?

Cities near Atlanta, GA with the most Computer Programmer Part Time job openings:

Computer Programmer Part Time jobs near you
Infographic showing various Computer Programmer Part Time job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $62,483 per year, or $30 per hour.

Senior Staff DevOps Engineer - Data Discovery & AI Governance

Atlanta, GA • On-site

OneTrust
Software Development • 1 - 5K employees
Learn more about OneTrustexternal

$125K - $160K/yr

Part-time

Re-posted 6 days ago

Job description

The Mission

OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI-Ready Governance Platform, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

The Challenge

We are hiring a Senior Staff DevOps Engineer to join our Detect & Discover (D&D) team. This team owns three product lines - Data Discovery, Privacy Automation, and AI Governance - serving thousands of enterprise customers across multi-cloud and on-premises environments.

In this role, you will lead the infrastructure strategy for our Kubernetes-based on-premises platform and cloud deployments. This includes architecting automated worker node deployments for Azure Marketplace, AWS Marketplace, and GCP; driving container-hardening initiatives to systematically eliminate CVEs; and ensuring the reliability, scalability, and security of our distributed scanning and classification platform. You will act as a technical leader, mentoring engineers and collaborating closely with product security, engineering squads, and customer-facing teams.

Your Mission
  • Kubernetes Platform Architecture: Architect and maintain production-grade Kubernetes platforms across cloud (AKS, EKS, GKE) and on-premises (K3s, microk8s) environments. Own the full lifecycle - cluster provisioning, upgrades, node pool management, and disaster recovery.
  • Deployment Automation & Marketplace Publishing: Develop and maintain automation using Helm, ARM templates, BICEP, Terraform, and CloudFormation to streamline worker node provisioning on Azure Marketplace, AWS Marketplace, and Reduce customer setup complexity so clients don't need advanced Kubernetes expertise on-site.
  • Container Hardening & Vulnerability Management: Lead our container-hardening program by adopting secure base images for distributed components including Kafka, PostgreSQL, Elasticsearch, Temporal and Vault. Own the systematic reduction of CVEs flagged by Vulnerability Scanners.
  • CI/CD & Release Engineering: Maintain and improve CI/CD pipelines ensuring zero-downtime deployments, automated rollbacks, and full auditability. Drive GitOps practices, Improve DevEx and infrastructure-as-code across the team.
  • Observability & Platform Reliability: Design monitoring, alerting, diagnostics, and self-healing capabilities using Datadog, Loki, Promtail. Ensure the platform is optimized for performance, logarithmic cost growth, and high-throughput scaling across thousands of tenant environments.
  • Incident Response & Production Support: Lead incident investigations, root cause analysis, and long-term remediation for production service interruptions. Participate in on-call rotation and drive systemic fixes to prevent recurrence.
  • Mentorship & Technical Leadership: Mentor engineers, drive DevOps best practices across teams, and raise the technical bar for infrastructure engineering quality.
You Are
  • A hands-on technical leader with strong analytical and problem-solving skills and a passion for high-quality infrastructure engineering.
  • Technically curious and self-motivated, able to self-teach new technologies and prioritize complex tasks in a fast-paced environment.
  • A collaborative partner who works seamlessly with security teams, software developers, and product managers to drive alignment on infrastructure standards.
  • Someone who thrives in ambiguous environments, takes ownership of complex technical challenges, and influences across teams without direct authority.
  • An encouraging mentor who enjoys upskilling engineers and continuously improving reliability, automation, and customer experience.
Your Experience Includes
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Experience: 8+ years in DevOps, SRE, or Platform Engineering roles.
  • Container Orchestration: Expert knowledge of Kubernetes, Helm, Linux, Docker, and networking
  • Multi-Cloud Platforms: Strong working knowledge of Azure, AWS, and GCP, with specific depth in at least one.
  • Automation & Scripting: Proficiency in Go and/or Python, plus Bash/Shell scripting for infrastructure automation and integrations.
  • CI/CD & GitOps: Deep understanding of CI/CD pipelines (GitLab or similar), GitOps workflows, and infrastructure-as-code methodologies.
  • Databases & Messaging: Experience with PostgreSQL, Elasticsearch, and distributed messaging systems (Apache Kafka, NATS).
  • Security & Compliance: Experience with security scanning, container image hardening, and vulnerability remediation in enterprise environments.
  • Production Operations: Experience supporting enterprise production environments and handling customer escalations.
  • Methodologies: Prior experience working in Agile/Scrum enterprise software development.
  • Communication: Excellent verbal and written communication and technical leadership skills.
Extra Awesome
  • Experience building and publishing B2B enterprise software on Azure Marketplace, AWS Marketplace, or GCP Marketplace.
  • Proven experience with Chainguard or other minimal, hardened container distributions for software supply chain security.
  • Experience with on-premises enterprise software deployments (K3s, microk8s, airgapped environments).
  • Familiarity with Temporal workflow orchestration or similar durable execution frameworks.
  • Prior exposure to MLOps methodologies, including model versioning, pipeline auditability, and AI asset discovery.
  • Experience with service meshes, Kubernetes operators, and AI-assisted operations.

Apply