Site Reliability Engineering Tech Lead

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 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 develop self-healing and automated remediation capabilities

Platform Reliability & Operations

• 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
• Optimize system performance, capacity planning, and cost efficiency

Team Leadership & Collaboration

• Mentor and guide a team of SRE engineers and collaborate with platform engineering teams
• Work closely with product, engineering, and customer success teams to ensure reliable product delivery
• Improve on-call practices, runbooks, and knowledge sharing processes
• Drive cross-functional initiatives to improve overall system reliability

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