DataHub
Site Reliability Engineering Tech Lead
Palo Alto, California, United States
Sponsorship not specifiedDetected 6 days ago
PythonJavaDistributed SystemsAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringRESTIncident ResponseCustomer SuccessLeadershipCollaboration
About the role
- Architect monitoring, observability, and alerting systems across diverse environments
- Work closely with product, engineering, and customer success teams to ensure reliable product delivery
- Improve on-call practices, runbooks, and knowledge sharing processes
Responsibilities
- Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deployments
- Drive best practices for infrastructure as code, configuration management, and deployment automation
- Partner with product and engineering teams to influence the development of advanced deployment capabilities
- Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments
- Partner with engineering teams to help develop self-healing and automated remediation capabilities
- Establish and maintain SLAs/SLOs for both cloud and enterprise offerings
- Lead incident response and post-mortem processes to drive continuous improvement
- Implement chaos engineering practices to proactively identify system weaknesses
- practical, thoughtful, and designed to support long-term growth.
- We support your ideal setup.
Requirements
- 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles
- 3+ years of technical leadership experience managing engineering teams
- Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
- Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)
- Experience with CI/CD pipelines and deployment automation
- Strong knowledge of networking, security, and database operations in cloud environments
Nice to have
- Knowledge of data infrastructure and metadata management systems
- Experience with service mesh technologies and microservices architectures
- Previous experience in a customer-facing technical role or working with enterprise clients
- Experience with data governance or data catalog platforms
- A robust management control plane for enterprise-grade deployments
- Automated deployment pipelines supporting multiple cloud providers and customer environments
- Comprehensive monitoring and alerting systems with customer-facing dashboards
- Disaster recovery and backup solutions for enterprise deployments
Skills
- Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools
- Strong programming skills in Python, Java, or similar languages
- Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
Compensation
- Competitive compensation
Benefits
- Home office, coworking space, or something in between?
- You'll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
- Comprehensive health coverage
- FSAs to help cover planned or unexpected healthcare costs.
- Lead the technical vision for multi-cloud deployment strategies and distributed system integrations
- Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments
Company info
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who've scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
- We offer salaries that reflect your skills, experience, and the impact you make.
Visa & Work Authorization
- DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa.
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This listing is sourced directly from DataHub's careers page and normalized into a canonical job model.