Tesla

Makes electric cars, robotaxis and grid batteries

Full Stack Software Engineer - Data Center Manufacturing

Full-Stack EngineeringUpdated on Nov 10

Full-timeBrookshire, TX, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Engineering, or equivalent experience demonstrating impact in large-scale software systems is required.
Strong proficiency in Python and Go, with hands-on experience building and deploying production-grade services, is required.
Deep experience with React, JavaScript, HTML/CSS, and modern front-end tooling such as Webpack, Vite, and TypeScript is required.
Expertise in REST, gRPC, HTTP, AJAX, and JSON is required, including API design, versioning, and backward compatibility.
Experience in CI/CD, Kubernetes, and containerized deployment tools such as Docker and Helm is required.
A solid understanding of observability tools including Splunk, Grafana, Prometheus, MetricsQL, and PromQL is required.
Familiarity with large-scale system design, including distributed systems, fault tolerance, and horizontal scaling, is required.
Experience in fast-paced, high-velocity environments, especially manufacturing, energy, AI, or hardware-software integration, is required.
Experience with Java, C++, Rust, or similar languages is a plus.

Responsibilities

Design and build scalable backend services in Python using Django, Flask, or FastAPI, and in Go using its standard library, Gin, or Echo; use REST and gRPC APIs, emphasizing performance, resilience, and security.
Develop reusable, accessible front-end components using React and modern JavaScript, following Tesla’s design standards and ensuring seamless user experience across internal tools and dashboards.
Implement CI/CD pipelines using Jenkins or GitHub Actions, and deploy and manage applications in Kubernetes, focusing on observability, rollback capability, and zero-downtime releases.
Instrument services with structured logging, metrics using PromQL or MetricsQL, and distributed tracing; visualize performance and health in Grafana and Splunk.
Build and evolve a data analytics platform with AI context that enables users and agents to discover, trust, and act on data at scale, with governance, lineage, and access controls.
Lead code reviews, design documentation, and architectural decisions, ensuring adherence to coding standards, testability, and long-term maintainability.
Collaborate with data engineers, data scientists, and product teams to deliver integrated solutions bridging data, software, and operational needs.
Troubleshoot production issues using logs, metrics, and tracing to identify root causes and drive systemic improvements.
Champion best practices in testing, security, scalability, and deployment automation.

Category	Manufacturing
Location	Brookshire, Texas
Requisition ID	284571
Type	Full-time

Job Description

You will be a key builder of the software backbone that powers Tesla’s next-generation energy systems from gigafactory automation to AI-driven analytics platforms. As a Full Stack Software Engineer, you’ll design, develop, and scale mission-critical backend systems in Python and Go, while crafting intuitive, reusable front-end experiences that align with Tesla’s design language. Your work will directly enable real-time visibility into manufacturing quality, field reliability, and AI workflows - ensuring data is discoverable, governable, and actionable at scale. You’ll own the full lifecycle of systems that support AI inference pipelines, quality data platforms, and internal tools used across factories, service centers, and product development teams.You’ll work closely with data engineers, product managers, and AI team to deliver high-impact solutions that run at Tesla’s pace - where reliability, performance, and observability are non-negotiable.

Job Responsibilities

Design and build scalable backend services in Python (Django/Flask/FastAPI) and Go (standard library, Gin/Echo) using REST and gRPC APIs, with strong emphasis on performance, resilience, and security
Develop reusable, accessible front-end components using React and modern JavaScript, following Tesla’s design standards and ensuring seamless UX across internal tools and dashboards
Implement CI/CD pipelines using Jenkins or GitHub Actions, and deploy and manage applications in Kubernetes, with a focus on observability, rollback capability, and zero-downtime releases
Own system observability: instrument services with structured logging, metrics (PromQL/MetricsQL), and distributed tracing; visualize performance and health in Grafana and Splunk
Build and evolve a data analytics platform with AI context, enabling users and agents to discover, trust, and act on data at scale — with governance, lineage, and access controls
Lead code reviews, design documentation, and architectural decisions, ensuring adherence to coding standards, testability, and long-term maintainability
Collaborate cross-functionally with data engineers, data scientists, and product teams to deliver integrated solutions that bridge data, software, and operational needs
Troubleshoot production issues under pressure, using logs, metrics, and tracing to root-cause failures and drive systemic improvements
Drive technical excellence by championing best practices in testing, security, scalability, and deployment automation

Job Requirements

Degree in Computer Science, Engineering, or equivalent experience with demonstrable impact in large-scale software systems
Strong proficiency in both Python and Go, with hands-on experience building and deploying production-grade services
Deep experience with React, JavaScript, HTML/CSS, and modern front-end tooling (e.g., Webpack, Vite, TypeScript)
Expertise in REST, gRPC, HTTP, AJAX, and JSON - with a focus on API design, versioning, and backward compatibility
Proven experience in CI/CD, Kubernetes, and containerized deployment (Docker, Helm, etc.)
Solid understanding of observability tooling: Splunk, Grafana, Prometheus, MetricsQL/PromQL
Familiarity with large-scale system design - including distributed systems, fault tolerance, and horizontal scaling (experience with Java, C++, Rust, or similar is a plus)
Experience working in fast-paced, high-velocity environments - especially in manufacturing, energy, AI, or hardware-software integration
A passion for clean code, system reliability, and delivering measurable impact through software

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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