10 hours ago
Base Salary
$145k - $240k/yr
Responsibilities
- Lead, build, test, and release complex infrastructure services for the autonomy organization on AWS.
- Upgrade and improve Kubernetes infrastructure and build developer-facing tooling.
- Set up fault-tolerant, multi-region environments for data operations and data applications.
- Own CI/CD pipelines for application and data projects.
- Define the on-call strategy, participate in on-call rotations, and drive root-cause analysis of production incidents.
- Build automated workflows and tooling that reduce manual deployment and operations work for Data and ML Platform teams.
- Build and optimize reliable, scalable, distributed infrastructure using a microservice architecture.
- Collaborate with security and privacy teams to perform audits and mitigate findings.
Requirements
- 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 experience with Kubernetes and AWS cloud services covering compute, storage, networking, identity, and secrets, including Amazon EKS.
- Hands-on experience with infrastructure as code and configuration management using Terraform, Pulumi, CloudFormation, or CDK.
- Experience monitoring production systems and performing root-cause analysis with Datadog, Prometheus, or CloudWatch.
- Proficiency in Python or Go and hands-on experience with Git-based automation tooling.
- Experience with CI/CD and GitOps using GitLab, Argo CD, or similar tools.
- Deep understanding of Kubernetes internals and ecosystem tooling such as Helm is preferred.
- Experience with observability, including metrics and distributed tracing, is preferred.
- Experience with GPU or ML platform workloads, Linux internals, networking, distributed systems, data governance, data privacy, or cloud security controls is preferred.
- Experience at an autonomous-driving or robotics company is preferred.
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.