Tech Stack

Description

You will lead technical initiatives to ensure the reliability, scalability, and operational excellence of DataHub Cloud and our enterprise deployment solutions, driving architecture design, monitoring systems, and platform reliability while mentoring a team of SRE engineers.

Requirements

• 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

Responsibilities

• 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
• Partner with product and engineering teams to influence development of advanced deployment 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
• Optimize system performance, capacity planning, and cost efficiency
• Mentor and guide a team of SRE engineers and collaborate with platform engineering teams
• Improve on-call practices, runbooks, and knowledge sharing processes