In this role you will design and implement monitoring, alerting, and automation for S3 storage clusters to achieve 99.99%+ uptime. You will use tools like Prometheus, Grafana, or ELK stack to track performance metrics, capacity utilization, and anomaly detection. You will forcast 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. You will 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. You will 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.
You ll de responsible for optimizing data ingestion, retrieval, and archival processes to handle high-throughput workloads, reducing costs through intelligent tiering (e.g., S3 Intelligent-Tiering) and data compression. You will ensure storage systems comply with data protection standards (e.g., GDPR, SOC 2), implementing features like bucket policies, versioning, and encryption at rest/transit. You will work with data engineering, AI, and energy teams to integrate S3 with other systems (e.g., Kubernetes, Spark). You will contribute to open-source tools or internal projects for advanced storage solutions and maintain runbooks, contribute to knowledge bases (e.g., in Confluence), and mentor junior engineers on best practices for object storage reliability.
- 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
- 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
- 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
- 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
- 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
- Ensure storage systems comply with data protection standards (e.g., GDPR, SOC 2), implementing features like bucket policies, versioning, and encryption at rest/transit
- 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
- Maintain runbooks, contribute to knowledge bases (e.g., in Confluence), and mentor junior engineers on best practices for object storage reliability
- Degree in Computer Science, Engineering, Software Engineering, Computer Engineering, or a related field, and 5 years of post baccalaureate, progressive work experience in SRE, DevOps, or systems engineering roles, or equivalent experience
- Must have 3 years of experience in one or a combination of the following object storage platforms: AWS S3, GCS, or Azure Blob
- 3 years of experience managing large-scale (PB-level) storage systems
- 2 years of experience in the following AWS services: S3, EC2, Lambda, and CloudWatch
- 5 years of experience in the following infrastructure tools: Terraform, Kubernetes, and Docker;
- Experience in scripting and programming for automation and tooling using Python, Go and Bash
- 5 years of experience in one or a combination of the following distributed systems, networking, and storage concepts: eventual consistency, or CRR/SRR replication
- 5 years of experience with Prometheus, Grafana, and Splunk
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Expected Compensation
$168,000 - $252,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.