Acceler8 Talent
This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $150,000.00/yr - $250,000.00/yr
Direct message the job poster from Acceler8 Talent
Stop Losing Sleep Over ML/SW Hiring | Acceler8 Talent/Understanding Recruitment | Boston/London⚡️ An MIT spin‑out building a platform that makes AI faster, cheaper, and easier to deploy - cutting costs up to 90% with 2×-15× performance gains for enterprise customers is looking for a Senior Infrastructure Engineer to join their team.
What Will I Be Doing?
Design, build, and maintain secure infrastructure for Fortune 500 AI deployments
Package, release, and manage lifecycle of customer‑distributed components (Helm charts, CRDs, operators)
Provide infrastructure guidance across AWS, GCP, and Azure with deep knowledge of each platform's quirks
Design artifact distribution via OCI registries, GitOps pipelines, and private repos
Define contracts between cloud‑hosted and customer‑hosted environments
Implement versioning, upgrade paths, rollback mechanisms, and zero‑downtime deployments
What We're Looking For:
5+ years infrastructure/DevOps experience with production Kubernetes expertise
Kubernetes expertise - written Helm charts, CRDs, deployed operators/controllers in production
Multi‑cloud fluency - Hands‑on experience with AWS, GCP, and Azure quirks and best practices
Terraform, CI/CD (GitHub Actions, ArgoCD), container registries, scripting (Bash/Go/Python)
What's In It For Me?
Pre-Series A startup ($10M seed, Series A planned 2026)
Direct impact on Fortune 500 customers and live enterprise AI deployments
Work with MIT CSAIL researchers and industry veterans building cutting‑edge AI infrastructure
Competitive salary, equity, and benefits
Apply now for immediate consideration!
#J-18808-Ljbffr
Base pay range $150,000.00/yr - $250,000.00/yr
Direct message the job poster from Acceler8 Talent
Stop Losing Sleep Over ML/SW Hiring | Acceler8 Talent/Understanding Recruitment | Boston/London⚡️ An MIT spin‑out building a platform that makes AI faster, cheaper, and easier to deploy - cutting costs up to 90% with 2×-15× performance gains for enterprise customers is looking for a Senior Infrastructure Engineer to join their team.
What Will I Be Doing?
Design, build, and maintain secure infrastructure for Fortune 500 AI deployments
Package, release, and manage lifecycle of customer‑distributed components (Helm charts, CRDs, operators)
Provide infrastructure guidance across AWS, GCP, and Azure with deep knowledge of each platform's quirks
Design artifact distribution via OCI registries, GitOps pipelines, and private repos
Define contracts between cloud‑hosted and customer‑hosted environments
Implement versioning, upgrade paths, rollback mechanisms, and zero‑downtime deployments
What We're Looking For:
5+ years infrastructure/DevOps experience with production Kubernetes expertise
Kubernetes expertise - written Helm charts, CRDs, deployed operators/controllers in production
Multi‑cloud fluency - Hands‑on experience with AWS, GCP, and Azure quirks and best practices
Terraform, CI/CD (GitHub Actions, ArgoCD), container registries, scripting (Bash/Go/Python)
What's In It For Me?
Pre-Series A startup ($10M seed, Series A planned 2026)
Direct impact on Fortune 500 customers and live enterprise AI deployments
Work with MIT CSAIL researchers and industry veterans building cutting‑edge AI infrastructure
Competitive salary, equity, and benefits
Apply now for immediate consideration!
#J-18808-Ljbffr