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Part Time Python Jobs in Alpharetta, GA (NOW HIRING)

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How much do part time python jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for part time python in Alpharetta, GA is $57.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

What is a part time Python job?

A Part Time Python job involves working on Python-based tasks or projects for a limited number of hours per week, rather than full-time employment. These roles can include web development, data analysis, automation, scripting, or machine learning. Part-time Python jobs are ideal for students, freelancers, or professionals looking to supplement their income while maintaining flexibility. Opportunities can be found in various industries, including tech, finance, and healthcare.

What does a typical work schedule look like for a part time Python developer and how flexible is the role?

Part Time Python developer roles are often designed with flexibility in mind, accommodating students, freelancers, or professionals seeking supplementary income. Work hours can range from a few hours per day to certain days of the week, and many positions offer remote or hybrid options. While some employers may set core hours for team meetings or project check-ins, the bulk of the coding work can usually be completed on your own schedule. This flexibility allows you to balance other commitments while gaining valuable industry experience and building your programming portfolio.

What are the key skills and qualifications needed to thrive in the part time Python position, and why are they important?

To thrive as a Part Time Python developer, you should have a solid understanding of Python programming, experience with relevant frameworks (such as Django or Flask), and a background in software development or computer science. Familiarity with code versioning tools like Git, cloud platforms, and databases, as well as participation in coding bootcamps or holding certifications (like Python Institute PCEP/PCAP), is often beneficial. Strong problem-solving skills, effective communication, and the ability to work independently or remotely are key soft skills for part-time positions. These abilities ensure you can contribute effectively within limited hours, collaborate with diverse teams, and consistently deliver high-quality code.

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What cities near Alpharetta, GA are hiring for Part Time Python jobs?

Cities near Alpharetta, GA with the most Part Time Python job openings:

Infographic showing various Part Time Python job openings in Alpharetta, GA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $119,042 per year, or $57.2 per hour.

Senior Staff DevOps Engineer - Data Discovery & AI Governance

OneTrust

Atlanta, GA

$125K - $160K/yr

Part-time

Posted 15 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.