Summary
A senior reliability engineering position responsible for scaling cloud infrastructure, improving production stability, automating operations, and supporting modern AI workloads.
Highlights
Advanced SRE role focused on cloud infrastructure, reliability engineering, automation, and supporting AI-powered production systems.
Description
Due to the nature of the project, we require Visa independent candidates only.
We are not sponsoring or transferring any work visas.
In-person interview is MUST.
Local or nearby candidates preferred.
We are seeking a highly skilled Site Reliability Engineer (SRE) to own and scale the infrastructure powering a clinical AI platform.
The ideal candidate is equally comfortable managing cloud infrastructure and improving application reliability.
You have a strong software engineering background, deep Kubernetes expertise, and hands-on experience with Infrastructure as Code (Terraform), CI/CD automation, and production-grade distributed systems.
Required experience:
Bachelor's/Master's degree from a top-tier US university with more than 8 years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Backend Software Engineering..Strong hands-on experience with Kubernetes and Helm in production environments.Proven expertise with Terraform and Infrastructure as Code.Experience building and maintaining CI/CD pipelines for modern application stacks.Strong understanding of cloud infrastructure, containerization, networking, and production operations.Experience improving application reliability, scalability, and performance.Proficiency in observability tools, monitoring, logging, and distributed tracing.Experience supporting Python and/or TypeScript-based applications is preferred.Excellent troubleshooting, automation, and collaboration skills.Background as a Backend Software Engineer before transitioning into SRE or Platform Engineering.Experience supporting ML or AI-based production workloads.Knowledge of healthcare or regulated environments is a plus.
Please note:
We maintain a zero-tolerance policy toward fraudulent applications.
Any candidate found to have provided false information, Misrepresented or fabricated work experience, Falsified educational credentials, Fake or altered identification documents, Fraudulent visa or work authorization documents, Impersonation or proxy interviews, will be immediately disqualified from the hiring process.
