950 Core Java jobs in Somis, CA

Medical device and/or combination product development experience; design controls experience
Project management, design controls, drug delivery experience, risk based process
Rate : $40 - $48/hour
4+ years' experience in project leadership in engineering product development, manufacturing or research environment, including previous leadership of a global and/or virtual team
5+ years of more progressive responsibility and experience as an engineer or scientist
Demonstrated ability to build lasting cross-functional relationships, including strong influential and communication skills
Bachelor's / Master's Degree in Electrical/Mechanical /Biomedical Engineering Computer Engineering or equivalent experience
Combination of product or medical device development experience.

MAC Incorporated

Los Angeles, CA 90079

Woodland International Transportation

Los Angeles, CA 90001

OpenAI

Los Angeles, CA 90011

Global networking and load balancing (Cloudflare, cloud‑native primitives)
Operated production infrastructure with strict reliability, latency, and security requirements
Drive infrastructure automation across provisioning, upgrades, remediation, and fleet consistency using Terraform and internal tooling
Infrastructure‑as‑code (Terraform) and internal automation
Own the evolution of OpenAI's Kubernetes platform, including cluster lifecycle, upgrades, configuration standards, and safety mechanisms
Service mesh (Istio / Envoy)
Strong track record of hiring, developing, and retaining senior engineers
Lead core Cloud Infrastructure teams
Significant experience managing infrastructure or platform engineering teams
Senior Engineering Manager
Comfortable operating in ambiguous, fast‑moving environments and creating clarity for others
Build, lead, and grow high‑performing infrastructure engineering teams
Establish clear ownership boundaries, technical direction, and execution discipline
Set and enforce platform‑level reliability goals (SLIs/SLOs), ensuring reliability is designed into the system
Large‑scale production systems with high reliability and safety requirements
Reduce operational toil and incident frequency through better abstractions, guardrails, and self‑healing systems
Kubernetes across many clusters and regions
Deep hands‑on understanding of Kubernetes at scale and distributed systems
Observability via metrics, logging, and tracing