Site Reliability Engineering Tech Lead

About the role

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

Key Responsibilities

• Technical Leadership & Architecture

• Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deployments
• Lead the technical vision for multi-cloud deployment strategies and distributed system integrations
• Architect monitoring, observability, and alerting systems across diverse environments
• Drive best practices for infrastructure as code, configuration management, and deployment automation

• Enterprise Platform Development

• 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
• Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments
• Partner with engineering teams to help develop self-healing and automated remediation capabilities

Required Qualifications

• 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles
• 3+ years of technical leadership experience managing engineering teams
• Strong expertise with cloud platforms (AWS, GCP, Azure) and infrastructure automation tools
• Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
• Experience with infrastructure as code tools (Terraform, CloudFormation, Pulumi)
• Strong programming skills in Python, Java, or similar languages
• Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
• Experience with CI/CD pipelines and deployment automation
• Strong knowledge of networking, security, and database operations in cloud environments

Preferred Qualifications

• Experience building and operating multi-tenant SaaS platforms
• Background in developing customer-facing deployment and management tools
• 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

What You'll Build

• 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
• Self-service tools for customers to manage their DataHub installations
• Disaster recovery and backup solutions for enterprise deployments
• Performance optimization and scaling solutions for high-volume data workloads

Benefits and Perks

• Competitive compensation
• Equity for everyone
• Remote Work
• Location flexibility
• Comprehensive health coverage
• Flexible savings accounts
• Support for every path to parenthood
• Time off that works for you

Why Join Us

• 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