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Part Time Postgresql Jobs in Atlanta, GA (NOW HIRING)

Part Time Postgresql information

What is the difference between Part Time Postgresql vs Part Time Database Administrator?

AspectPart Time PostgresqlPart Time Database Administrator
Required CredentialsPostgreSQL certifications, SQL knowledgeDatabase management certifications, SQL, and system administration skills
Work EnvironmentTech companies, startups, freelance projectsCorporate IT departments, consulting firms
Employer & Industry UsageUsed in data-driven roles focusing on PostgreSQLUsed across industries for overall database management
Common Search & ComparisonYesYes

Part Time Postgresql roles focus specifically on managing and optimizing PostgreSQL databases, often requiring SQL expertise and database-specific certifications. Part Time Database Administrators have a broader scope, handling multiple database systems and overall database health. While both roles involve database skills, Postgresql positions are more specialized, whereas Database Administrators cover a wider range of database management tasks.

What are the typical responsibilities and expectations for a part time PostgreSQL Database Administrator?

In a part-time PostgreSQL DBA role, you can expect to focus on maintaining database performance, performing routine backups and recovery, and ensuring data security. Your tasks may include monitoring database health, applying updates or patches, and assisting with query optimization. Collaboration with developers and IT teams is common, especially for troubleshooting and implementing best practices. Since the position is part-time, efficient time management and prioritization are essential to address critical issues promptly and keep projects on track.

What is a part time PostgreSQL job?

Part Time PostgreSQL jobs are positions where individuals work with the PostgreSQL database management system on a part-time basis, typically less than 40 hours per week. These roles may include responsibilities such as database administration, development, optimization, and troubleshooting. Part-time PostgreSQL professionals often support organizations in maintaining, configuring, and enhancing their databases while offering flexibility in work hours. Such positions are ideal for those who have PostgreSQL expertise but prefer a reduced or flexible work schedule. Employers may hire part-time PostgreSQL specialists for ongoing maintenance, project-based tasks, or to fill temporary skill gaps.

What are the key skills and qualifications needed to thrive as a part time PostgreSQL Database Administrator, and why are they important?

To thrive as a Part Time PostgreSQL Database Administrator, you need strong knowledge of database management, SQL querying, and experience with PostgreSQL, often supported by a degree in computer science or related experience. Familiarity with tools like pgAdmin, backup and recovery utilities, and understanding of Linux systems are typically required, with certifications such as PostgreSQL Associate seen as a plus. Attention to detail, problem-solving, and clear communication are important soft skills for managing data integrity and supporting users. These skills ensure efficient database performance, security, and reliable support in a flexible work arrangement.

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

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

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

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

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

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

Infographic showing various Part Time Postgresql job openings in Atlanta, GA as of July 2026, with employment types broken down into 24% Full Time, and 76% Part Time. Highlights an 77% In-person, and 23% Remote job distribution.

Senior Staff DevOps Engineer - Data Discovery & AI Governance

OneTrust

Atlanta, GA

$125K - $160K/yr

Part-time

Posted 11 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.