Senior Staff DevOps Engineer — Data Discovery & AI Governance
$165,000–$247,500 year
On-siteAtlanta, Georgia, United States
Job Summary
Architect and maintain production-grade Kubernetes platforms across cloud and on-premises environments, owning the full lifecycle from cluster provisioning to disaster recovery. Develop automation using Helm, Terraform, and CloudFormation to streamline worker node publishing on Azure, AWS, and GCP marketplaces. Lead container-hardening initiatives by adopting secure base images for distributed components and systematically reduce flagged CVEs. Maintain CI/CD pipelines ensuring zero-downtime deployments, automated rollbacks, and full auditability while driving GitOps practices. Design monitoring and self-healing capabilities using Datadog and Loki to optimize performance and logarithmic cost growth. Lead incident investigations, root cause analysis, and long-term remediation for production service interruptions, participating in on-call rotation. Mentor engineers and drive DevOps best practices across teams to raise infrastructure quality standards.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 8+ years in DevOps, SRE, or Platform Engineering roles
- 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
- Must be available for three days a week in office
Desired Qualifications
- 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
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