Sr. Software Engineer, Infrastructure, Manufacturing Quality

Own infrastructure and reliability for Tesla’s Manufacturing Quality Data Engineering platform, scaling Kubernetes, CI/CD, and machine learning pipeline operations.

Responsibilities

• Build and maintain Kubernetes configuration using infrastructure as code, and deploy APIs, frontends, SSO, ingress, storage, platforms, and systems to clusters worldwide, including multi-region expansion
• Develop and maintain Jenkins CI/CD pipelines, including build validation, and integrate CI/CD with GitHub Enterprise
• Standardize and scale HashiCorp Vault and Kubernetes secrets across 50+ services and applications; design and scale Airflow infrastructure worldwide with Helm
• Design and operate machine learning lifecycle infrastructure for training and inference, including training-data pipelines and Kafka/Flink, plus platform services for AI agents and agentic workflows (stateful execution, retries, failure recovery, scheduling, metadata, long-running orchestration)
• Implement logging, metrics, and alerting; define service level objectives for availability, latency, and system health using Prometheus, Grafana, Splunk, Kibana, and OpsGenie, including MLOps and application components
• Manage on-call and incident response; run postmortems; drive corrective actions to closure; partner with development and quality engineers on reliability, testing, and release practices
• Design, develop, and maintain Python and Go platform services and APIs (REST and gRPC), plus databases and integrations that pipelines and internal tools depend on; troubleshoot production infrastructure and data pipeline systems
• Lead major initiatives to reduce speed bottlenecks, address database contention, and resolve infrastructure issues through proactive monitoring and automation
• Write production-grade code and build tooling to reduce toil and improve deployment, monitoring, and operational workflows

Requirements

• Master’s Degree in Computer Science or a quantitative discipline, or equivalent
• 5+ years experience in infrastructure, DevOps, site reliability, or platform engineering
• Hands-on with Kubernetes, Docker, Jenkins, and Git for production deployment
• Experience with Vault, Helm, Prometheus, Grafana, Splunk, Kibana, Airflow, and OpsGenie
• Proven data and ML pipeline operations for training and inference delivery
• Experience with Python and Go, REST and gRPC, SQL, and column stores such as ClickHouse
• Ability to collaborate across teams under tight deadlines

Technologies

• Kubernetes
• Docker
• Jenkins
• Git
• GitHub Enterprise
• HashiCorp Vault
• Helm
• Airflow
• Python
• Go
• REST
• gRPC
• Kafka
• Flink
• Prometheus
• Grafana
• Splunk
• Kibana
• OpsGenie
• SQL
• ClickHouse

Benefits

• Medical plans
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans
• 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
• 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

• $120,000 - $396,000/annual salary + cash and stock awards + benefits
• Pay offered may vary based on factors including market location, job-related knowledge, skills, and experience
• Total compensation package may include other elements dependent on the position offered
• Details of participation in benefit plans provided to employees who receive an offer of employment

Location: Fremont, CA (onsite)