Sr. Software Engineer, Infrastructure, Manufacturing Quality

Own infrastructure and reliability for Manufacturing Quality data engineering, including Kubernetes scaling, ML data platform operations, and production observability.

Responsibilities

• Develop and maintain Kubernetes configuration and infrastructure as code; deploy APIs, frontends, SSO, ingress, storage, platforms, and systems to clusters worldwide, including multi-region expansion
• Build and operate Jenkins CI/CD pipelines with build validation; integrate pipelines with GitHub Enterprise
• Standardize and scale HashiCorp Vault and Kubernetes secrets across 50+ services and applications
• Design and scale Airflow infrastructure worldwide using Helm
• Operate ML lifecycle infrastructure for training and inference, including training-data pipelines and Kafka and Flink
• Provide platform services for AI agents and agentic workflows such as stateful execution, retries, failure recovery, scheduling, metadata, and 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 for MLOps and application components
• Handle on-call and incident response; run postmortems; drive corrective actions to closure; partner with development and quality engineers on reliability, testing, and release practices
• Build and maintain Python and Go platform services and APIs (REST and gRPC), plus databases and integrations used by pipelines, agents, and internal tools
• Troubleshoot production infrastructure and data pipeline systems
• Lead initiatives to remove speed bottlenecks, reduce 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
• Experience operating data and ML pipelines for training and inference delivery
• Proficiency with Python and Go, REST and gRPC, and SQL including 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

Compensation

• USD 120,000 - 396,000 per year (salary) + cash and stock awards + benefits
• Pay offered may vary based on multiple individualized factors, including market location, job-related knowledge, skills, and experience
• Total compensation may include other elements depending on the position offered
• Details of participation in benefit plans are provided if an offer of employment is made

Location: Fremont, CA (onsite)