Senior Cloud Platform Engineer: AI-Driven DevEx & CI/CD

ARCHER

Jersey City (NJ)

Vor Ort

USD 170.000 - 250.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health Care Coverage
On-Site Wellness Center
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching
Commission-Based Pay
Cash Incentive
Forfeitable Equity

Zusammenfassung

ARCHER is seeking a senior- level engineer to lead the technical direction, design, and development of secure, scalable cloud platforms and developer tools. You will enhance CI/CD, self-service workflows, observability, and the developer experience while standardizing AI coding tools.

Ideal candidates have 10+ years of hands-on software engineering, strong cloud infra and container skills (AWS/Azure/GCP, Docker, Kubernetes), and experience with IaC and AI-assisted coding workflows.

Qualifikationen

  • 10+ years of applied software engineering experience.
  • Hands-on with a major cloud provider and cloud infrastructure.
  • Experience with IaC and monitoring; AI-assisted coding workflows preferred.

Aufgaben

  • Lead the technical direction, design, and development of secure, scalable cloud platforms.
  • Advance AI-assisted engineering and platform automation through tool standardization.
  • Collaborate on AI agents and Model Context Protocol integrations.

Kenntnisse

Cloud Platform Engineering
DevEx
CI/CD
Security
Python
Go
AI-Assisted Development
AI Agents
Prompt Engineering

Ausbildung

Master's degree in CS/SE

Tools

AWS
Azure
GCP
Docker
Kubernetes
Terraform
Crossplane

Jobbeschreibung

ARCHER is seeking a senior- level engineer to lead the technical direction, design, and development of secure, scalable cloud platforms and developer tools. You will enhance CI/CD, self-service workflows, observability, and the developer experience while standardizing AI coding tools.

Ideal candidates have 10+ years of hands-on software engineering, strong cloud infra and container skills (AWS/Azure/GCP, Docker, Kubernetes), and experience with IaC and AI-assisted coding workflows.

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