Sr. Software Engineer, Infrastructure, Manufacturing Quality

What To Expect The Manufacturing Quality Data Engineering team specializes in predicting safety critical issues before they occur, protecting our customers. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative AI and machine learning platforms globally. In this role, you will own infrastructure, site reliability and the machine learning data platform for Manufacturing Quality. You will scale Kubernetes, CI/CD and multi-region deployment, keep services available and operate the pipelines behind training and inference. What You'll Do Develop and maintain Kubernetes configuration and infrastructure as code, and deploy APIs, frontends, SSO, ingress, storage, platforms and systems to clusters worldwide, including multi-region expansionDevelop and maintain Jenkins CI/CD pipelines, including build validation, and integrate them with GitHub EnterpriseStandardize, create and maintain HashiCorp Vault and Kubernetes secrets across 50+ services and applications, and design and scale Airflow infrastructure worldwide with HelmDesign and operate machine learning lifecycle infrastructure for training and inference, including training-data pipelines, Kafka and Flink, and platform services for AI agents and agentic workflows such as stateful execution, retries, failure recovery, scheduling, metadata and long-running orchestrationBuild logging, metrics and alerting, and set service level objectives for availability, latency and system health with Prometheus, Grafana, Splunk, Kibana and OpsGenie, including MLOps and application componentsManage on-call and incident response, run postmortems, drive corrective actions to closure and partner with development and quality engineers on reliability, testing and release practicesDesign, develop and maintain the Python and Go platform services and APIs (REST and gRPC), databases and integrations that pipelines, agents and internal tools depend on, and troubleshoot production infrastructure and data pipeline systemsLead major initiatives to eliminate speed bottlenecks, database contention, and infrastructure issues through proactive monitoring and automationWrite production-grade code and build tools to reduce toil and improve deployment, monitoring, and operational workflows What You'll Bring Master's Degree in Computer Science or a quantitative discipline, or equivalent5+ years in infrastructure, DevOps, site reliability or platform engineeringKubernetes, Docker, Jenkins and Git for production deploymentVault, Helm, Prometheus, Grafana, Splunk, Kibana, Airflow and OpsGenieData and ML pipeline operations for training and inference deliveryPython and Go, REST and gRPC, SQL and column stores such as ClickHouseCollaboration across teams under tight deadlines 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 $120,000 - $396,000/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. , Tesla