Tesla is re-thinking how batteries are made from the ground up. We're designing new factories, new equipment, new processes and new software to rapidly scale battery manufacturing, globally. The primary bottleneck to Tesla's future expansion (and the transition to sustainable transport and energy storage) is our ability to produce and procure batteries - that's why we're innovating in-house, with our collection of world-class engineers, to redefine the industry. Software, data and automation all play a huge part in this strategy. We've built software from scratch with a nimble and high performing team to meet the specific needs of Tesla's rapid battery manufacturing scale up. This software tracks every component of the cell manufacturing process and acts as the brain of the entire cell factory. It's key to ensuring batteries are made safely and for understanding how to improve processes. This platform is the conduit for data coming from the line, and it is part of the goal to have more data about manufacturing, end to end, than any other company. The Cell Software team is responsible for building software solutions that allow the company to redefine manufacturing and production. We focus on implementing effective software advances, distributed fault-tolerant computing, and modern user- experience to manufacturing systems throughout Tesla. Our stack is built on top of Kubernetes, Kafka, Spark, MQTT, PostgreSQL, Redis, and other related platforms. We are not stuck in legacy systems. * Work with automation software, databases, virtual machines, and other applications that enable manufacturing in our various factories * Monitor availability taking holistic view of system health * Measure and optimize system performance * Provide operational support and engineering for several large-scale distributed software applications * Design and implement automation for managing the deployment and upgrades of large-scale manufacturing software applications * Define Disaster Recovery and Business Continuity plans for the various software deployments * Improve observability of industrial automation software through metrics, logging, tracing, and alerting * Design infrastructure, systems and application architecture * Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability * Proficient in Linux fundamentals * Experience with modern infrastructure services, distributed systems, microservices, and software design at a high-level * Experience working with containers and container management systems * Understand cyber security principles and best practices * Experience in managing configuration changes across a large set of distributed production systems * Experience in high level language such as Python, Go and/or Java * Comfortable on an on-call rotation and doing live troubleshooting of issues on NOC bridges/outage calls