Senior Staff DevOps Engineer — Data Discovery & AI Governance
Primary stack
Nice to have's
Job description
About the Position
Senior Staff DevOps Engineer - Data Discovery & AI Governance
Location: Atlanta, Georgia
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.
Responsibilities
- 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 GCP. 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, and 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.
Requirements
- Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Experience: 8+ years in DevOps, SRE, or Platform Engineering roles.
- Core Skills:
- Expert knowledge of Kubernetes, Helm, Linux, Docker, and networking.
- Strong working knowledge of Azure, AWS, and GCP, with specific depth in at least one.
- Proficiency in Go and/or Python, plus Bash/Shell scripting for infrastructure automation and integrations.
- Deep understanding of CI/CD pipelines (GitLab or similar), GitOps workflows, and infrastructure-as-code methodologies.
- Experience with PostgreSQL, Elasticsearch, and distributed messaging systems (Apache Kafka, NATS).
- Experience with security scanning, container image hardening, and vulnerability remediation in enterprise environments.
- Experience supporting enterprise production environments and handling customer escalations.
- Prior experience working in Agile/Scrum enterprise software development.
- Excellent verbal and written communication and technical leadership skills.
Nice to Have
- 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.
Salary Range
$165,000 - $247,500 USD
We Offer
- Comprehensive healthcare coverage
- Flexible PTO
- Equity RSUs
- Annual performance bonus opportunities
- Retirement account support
- 14+ weeks of paid parental leave
- Career development opportunities
- Company-paid privacy certification exam fees
- And much more!
About the Company
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad - the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
© DocuVision. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
At DocuVision, we believe that a person’s digital privacy is a human right. The status quo of data harvesting and microtargeting has had a toxic effect, and we are at the brink of a new era. DocuVision helps companies find all the personal data they have collected and helps them purge it, while still retaining business value. We seek to achieve our vision by training the best NLP algorithms which continue to be tuned through machine learning without storing any private data. Our startup is an early-stage UC Berkeley Skydeck company and we are located in Silicon Valley , California, with a globally distributed team. We’re seeking like-minded people who are passionate about data privacy.