Joby Aviation Logo

Joby Aviation

Senior Platform Engineer

Posted 13 Days Ago
Be an Early Applicant
In-Office
San Carlos, CA, USA
124K-196K Annually
Senior level
In-Office
San Carlos, CA, USA
124K-196K Annually
Senior level
Build and operate the engineering platform supporting aircraft manufacturing software. Responsibilities include developing CI/CD pipelines, internal developer tools, automated testing infrastructure, Kubernetes platforms across cloud and on-premises environments, infrastructure as code, observability, incident response, security controls, and AI-enabled development workflows. The role partners with engineering, QA, and IT to improve software delivery reliability, speed, and compliance.
The summary above was generated by AI
Company Overview

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.

Overview

We're looking for a Senior Platform Engineer to build and evolve the engineering platform supporting the software used in Joby's aircraft manufacturing operations. In this role, you'll own core infrastructure, software delivery pipelines, and developer tooling, creating reliable self-service capabilities that help engineers ship software without spending time on repetitive setup and operational work. You'll work closely with software engineering, QA, and IT to make software delivery faster, safer, and more predictable. You'll also help establish practical ways to use AI across development, testing, and operations. This is a high-ownership role with direct impact on the reliability and pace of the systems that support aircraft design, production and operations.

Responsibilities
  • Design and build the delivery system, from CI/CD pipelines to internal tools and self-service capabilities, that removes repetitive setup and operational work from developers' hands and shortens the path from idea to production
  • Build the pipeline foundations that enable fast, reliable automated testing: ephemeral environments, test data, parallelized execution, and quality gates, in partnership with QA and development teams
  • Design and operate a shared Kubernetes platform across cloud and on-premises factory sites, with the standardized deployment patterns that help teams onboard and ship consistently
  • Evaluate and integrate AI into development, testing, and operational workflows, including the infrastructure and guardrails needed to use AI-powered tools safely at scale
  • Own infrastructure as code, observability, incident response, and post-incident reviews for systems that production lines depend on
  • Embed security and compliance controls into the platform and pipelines so they are enforced automatically, keeping teams fast while maintaining security and compliance requirements
Required
  • B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience.
  • 5+ years in platform, DevOps, or SRE roles, with ownership of production systems used by multiple teams
  • Strong hands-on experience operating Kubernetes in running clusters in production.
  • Strong CI/CD, GitOps, and infrastructure-as-code background, ideally with GitHub Actions, ArgoCD, and Terraform
  • Proven software engineering experience building and maintaining production services, tools, and components in Python
  • Experience with a major cloud provider, preferably Azure, plus comfort with on-premises infrastructure
  • Security-minded approach to platform design and strong communication skills across functions and time zones
Desired
  • Experience building or scaling an internal developer platform used by multiple teams
  • Hands-on experience with AI coding tools and agent workflows, and a view on how to apply them across an engineering organization
  • Experience with observability platforms such as Datadog, and with Proxmox or comparable on-premises virtualization
  • Experience safely exposing services to external users (API gateways, edge security, multi-tenancy)
  • Experience with Kafka or other event-streaming platforms
  • Exposure to regulated or audited environments (e.g., SOX) or to manufacturing / shop-floor systems
Additional Information

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $124,300 - $196,400/yr.


The compensation package will be determined by job-related knowledge, skills, and experience.

Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.


Joby is an Equal Opportunity Employer

Joby Aviation San Carlos, California, USA Office

San Carlos, United States

Similar Jobs

2 Days Ago
Hybrid
Santa Clara, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs and operates secure cryptographic services for a multi-tenant SaaS platform, including key management, PKI, certificate lifecycle, secrets distribution, and workload identity. Applies ML and statistical techniques to detect cryptographic misuse and anomalies. Responsibilities include Kubernetes operations, CI/CD, incident response, threat modeling, secure coding, code review, compliance with FIPS and regulated-environment requirements, and collaboration across product, architecture, and engineering teams.
Top Skills: Ci/CdFedrampFips 140-2/3GoJavaKubernetesMachine LearningNoSQLPkiSQLTls
2 Days Ago
Hybrid
129K-219K Annually
Senior level
129K-219K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and operate secure cryptographic services for a large-scale, multi-tenant SaaS platform. Build key management, PKI, certificate lifecycle, secrets distribution, and workload identity capabilities while meeting FIPS and regulated-environment requirements. Apply ML and statistical techniques to detect cryptographic misuse and anomalies. Deploy services on Kubernetes, participate in CI/CD, incident response, threat modeling, code reviews, and reliability operations, while collaborating across security, product, and engineering teams.
Top Skills: AICi/CdCryptographyDistributed SystemsFedrampFips 140-2/3GoJavaKubernetesMicroservicesMlNoSQLPkiSQLTls
2 Days Ago
In-Office or Remote
United States
100K-193K Annually
Senior level
100K-193K Annually
Senior level
Automotive
Build and maintain enterprise OpenShift/Kubernetes platforms across on-premise, bare-metal, virtualized, and hybrid environments. Develop Operators, APIs, developer tooling, and infrastructure automation using Go, Python, Ansible, and IaC. Implement GitOps CI/CD pipelines, observability, automated recovery, service mesh, secrets management, and self-service capabilities. Collaborate with application teams, improve platform reliability and usability, and mentor engineers while promoting software engineering and SRE best practices.
Top Skills: AnsibleAppdynamicsArgo CdCephDynatraceElkGithub ActionsGitopsGoGrafanaHashicorp VaultHelmInfrastructure As CodeIstioKubernetesKustomizeMachineconfigMavenMultus CniOpenshiftOpenshift Data FoundationOpenshift PipelinesOpenshift VirtualizationOperator Lifecycle ManagerPrometheusPythonSonarqubeSplunkTektonTridentVertex AiVMwareYaml

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account