42dot
Cloud Infrastructure Engineer
$145K–$240K
Sunnyvale, United States · Full-time · Posted Oct 21, 2026
- Experience
- Minimum of 5 years in software engineering, cloud infrastructure, or ML/Dev/Data Ops.
- Education
- Bachelor's degree or higher in Computer Science, Engineering, or a similar technical field.
About the job
Build and operate AWS cloud infrastructure for autonomous-driving data and machine-learning workloads, supporting reliable development and production environments.
What you'll do
- Build and release infrastructure services, improve Kubernetes, and create developer tooling.
- Set up fault-tolerant, multi-region environments and own CI/CD pipelines for application and data projects.
- Establish on-call practices, investigate production incidents, automate operations, and collaborate on security and privacy audits.
What they ask for
- Bachelor's degree or higher in Computer Science, Engineering, or a similar technical field.
- At least 5 years of experience in software engineering, cloud infrastructure, or ML/Dev/Data Ops.
- Production Kubernetes and cloud-services experience; hands-on infrastructure-as-code and configuration-management experience.
- Production monitoring and root-cause analysis experience; proficiency in Python or Go and experience with Git-based automation, CI/CD, and GitOps.
Nice to have
- Deep understanding of Kubernetes internals and tooling such as Helm; observability experience including metrics and distributed tracing.
- Experience with GPU or ML platform workloads, Linux internals, networking, distributed systems, autonomous driving or robotics, or cloud data governance, privacy, and security.
Pay
$145,000 - $240,000 (base salary; currency not stated)
Tools
AWS, Kubernetes, Amazon EKS, Terraform, Pulumi, CloudFormation, CDK, Python
AI focus
Supports autonomous-driving data and ML workloads and enables DataOps and MLOps practices for development and deployment.
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