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Tesla
Staff Site Reliability Engineer (SRE), S3 storage
Tesla
Bengaluru•On-site•5-8 Yrs•2 hours ago
Job description
Overview
Key Responsibilities:
Responsibilities
- System Reliability and Monitoring: Design and implement monitoring, alerting, and automation for S3 storage clusters to achieve 99.99%+ uptime. Use tools like Prometheus, Grafana, or Catchpoint to track performance metrics, capacity utilization, and anomaly detection.
- Capacity Planning and Scaling: Forecast storage needs based on data growth trends (e.g., fleet expansion exceeding 80 PB) and proactively scale S3 buckets, lifecycle policies, and multi-region replication to support up to 150 PB+ capacities.
- Incident Management: Lead on-call rotations, troubleshoot storage-related incidents (e.g., data access latency, replication failures), and perform root cause analysis using methodologies like blameless post-mortems.
- Automation and Infrastructure as Code: Develop and maintain automation scripts (e.g., using Terraform, Ansible, or Python) for provisioning, configuring, and managing S3 resources, including security policies, encryption, and access controls.
- Performance Optimization: Optimize data ingestion, retrieval, and archival processes to handle high-throughput workloads, reducing costs through intelligent tiering (e.g., S3 Intelligent-Tiering) and data compression.
- Security and Compliance: Ensure storage systems comply with data protection standards (e.g., GDPR, SOC 2), implementing features like bucket policies, versioning, and encryption at rest/transit.
- Collaboration and Innovation: Work with data engineering, AI, and energy teams to integrate S3 with other systems (e.g., Kubernetes, Spark). Contribute to open-source tools or internal projects for advanced storage solutions.
- Documentation and Knowledge Sharing: Maintain runbooks, contribute to knowledge bases (e.g., in Confluence), and mentor junior engineers on best practices for object storage reliability.
Qualifications
- Technical Skills:
- Expertise in AWS services (S3, EC2, Lambda, CloudWatch) and infrastructure tools (Terraform, Kubernetes, Docker).
- Proficiency in scripting/programming (Python, Go, Bash) for automation and tooling.
- Strong understanding of distributed systems, networking, and storage concepts (e.g., eventual consistency, CRR/SRR replication).
- Soft Skills: Excellent problem-solving abilities, strong communication skills, and a collaborative mindset. Ability to thrive in a fast-paced, high-stakes environment.