Senior Platform Engineer

Talentify; San Carlos (CA); On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) match

RSUs

ESPP

Paid time off

Life insurance

Job summary

Joby is seeking a Senior Platform Engineer to build and evolve the engineering platform supporting software used in aircraft manufacturing. You will own core infrastructure, delivery pipelines, and developer tooling to enable fast, safe software delivery across teams.

In this high-ownership role, you will design Kubernetes platforms, implement CI/CD and IaC, integrate AI into workflows, and ensure security and compliance across production systems powering design, production, and operations.

Qualifications

• B.S./M.S. in Computer Science, Engineering, or related field.
• 5+ years in platform, DevOps, or SRE with production ownership.
• Hands-on Kubernetes in production clusters.
• Strong CI/CD, GitOps, and IaC background; GitHub Actions/ArgoCD/Terraform.
• Production services built with Python.
• Experience with Azure cloud and on-premises infrastructure.
• Security-minded platform design and cross-team communication.
• Experience building internal developer platforms (nice to have).
• Experience with AI coding tools and agent workflows (nice to have).
• Observability with Datadog; on-prem virtualization with Proxmox (nice).
• Experience with API gateways and Kafka (nice).
• Exposure to SOX/regulatory environments (nice).

Responsibilities

• Design and build the delivery system from CI/CD to internal tools, removing repetitive setup for developers.
• Create fast, reliable automated testing with ephemer environments, test data, and quality gates.
• Operate a shared Kubernetes platform across cloud and on‑prem, standardizing deployment patterns.
• Evaluate and integrate AI into development, testing, and operations with safe guardrails.
• Own infrastructure as code, observability, incident response, and post-incident reviews.
• Embed security and compliance controls into the platform and pipelines.

Skills

Kubernetes

CI/CD

GitOps

Infrastructure as Code

Python

Azure

Security mindset

Communication skills

Internal developer platform

AI tools

Datadog

Proxmox

API gateways

Kafka

SOX exposure

Education

B.S./M.S. in Computer Science, Engineering, or related field

Tools

GitHub Actions

ArgoCD

Terraform

Datadog

Proxmox

Kafka

API Gateways

Job description

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: ephemer 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