Remote Platform Engineer for AI Infra & DevOps

Society of Research Software Engineering; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

Remote-first

Flexible collaboration

Career growth

Job summary

LockedIn AI is seeking a Platform Engineer to design, build, and operate the internal platform powering our AI services and developer teams. You will shape cloud infrastructure, CI/CD tooling, and scalable AI-enabled services for millions of users.

You will work across AWS/GCP/Azure, implement IaC, and build reliable systems with observability, security, and developer experience in mind. The role offers remote-first with optional NYC collaboration.

Qualifications

• 3+ years of Platform Engineering, DevOps, or SRE experience in production cloud settings.
• Strong Kubernetes and containerized app knowledge.
• Experience designing CI/CD pipelines and developer tooling.
• Ability to work autonomously in a fast-paced startup environment.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure across AWS, GCP, or Azure.
• Develop and operate CI/CD pipelines and internal developer tooling.
• Implement infrastructure as code and automation for reliability and security.
• Build observability, monitoring, and alerting for platform health.
• Collaborate with engineering, AI/ML, data, and security teams.

Skills

Python

Go

TypeScript

Kubernetes

Cloud platforms (AWS/GCP/Azure)

CI/CD

DevOps

Infrastructure as Code

SRE practices

Tools

Docker

Kubernetes

Helm

GitHub Actions

ArgoCD

Terraform

Pulumi

CloudFormation

Prometheus

Job description

LockedIn AI is seeking a Platform Engineer to design, build, and operate the internal platform powering our AI services and developer teams. You will shape cloud infrastructure, CI/CD tooling, and scalable AI-enabled services for millions of users.

You will work across AWS/GCP/Azure, implement IaC, and build reliable systems with observability, security, and developer experience in mind. The role offers remote-first with optional NYC collaboration.