Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation)

ARCHER

Jersey City (NJ)

On-site

USD 170,000 - 250,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

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

Education

Master's degree in CS/SE

Tools

AWS
Azure
GCP
Docker
Kubernetes
Terraform
Crossplane

Job description

Lead the technical direction, design, and development of secure, scalable cloud platforms and developer tools, improving CI/CD, self-service workflows, observability, and developer experience. Advance AI-assisted engineering and platform automation by standardizing AI coding tools and contributing to AI agents and Model Context Protocol integrations.

Requirements

Requires 10 or more years of applied software engineering experience, hands-on experience with a major cloud provider, and strong skills in cloud infrastructure, containers, DevEx, CI/CD, security, and Go or Python. Candidates should also have experience with infrastructure-as-code and monitoring tools, plus demonstrated proficiency in AI-assisted coding workflows; a related master's degree and relevant certifications are preferred.

Key Skills
  • Cloud Platform Engineering
  • AWS
  • Azure
  • Or GCP
  • Docker
  • Kubernetes
  • Developer Experience
  • CI/CD
  • DevSecOps
  • Go
  • Python
  • Terraform
  • Crossplane
  • Cloud Security
  • Observability
  • AI-Assisted Development
  • AI Agents And MCP Integrations
  • Prompt Engineering
Benefits
  • Health Care Coverage
  • On-Site Health And Wellness Centers
  • Retirement Savings Plan
  • Backup Childcare
  • Tuition Reimbursement
  • Mental Health Support
  • Financial Coaching
  • Commission-Based Pay
  • Cash Incentive Compensation
  • Forfeitable Equity
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