Remote Cloud Infrastructure Engineer L2

United States Digital Space LLC

United States

Remote

USD 117,000 - 172,000

Full time

12 days ago

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Benefits offered by this job

Health insurance
401(k) retirement plan
Paid time off
Equity opportunity

Job summary

the company is building scalable Compute infrastructure with a remote-first approach. As a Software Engineer L2, you will evolve and maintain cloud infrastructure, automate deployments, and work with AWS services, AMIs, and EC2 to deliver robust, scalable solutions. You’ll collaborate with global teams and contribute to security and best practices.

Join us to shape the future of our cloud platform, valuing initiative, automation, and reliable operations across distributed systems.

Qualifications

  • 2+ years of AWS Cloud infrastructure management experience, including IAM policies/roles.
  • Experience with hardened base AMIs and Auto Scaling Groups.
  • Proficiency in Java or Python with strong code quality.

Responsibilities

  • Collaborate with tech leaders and engineers to design solutions for distributed infrastructure.
  • Automate monitoring, performance, planning, and disaster response.
  • Participate in on-call rotations to support critical infrastructure.
  • Apply Infrastructure as Code standards to deliver reliable systems.
  • Document designs, runbooks, and changes clearly.

Skills

AWS Cloud infra
ASG (Auto Scaling)
AMI hardening
Java
Python
Shell scripting
Distributed systems
Kubernetes
CI/CD basics

Education

BS in Computer Science or related

Tools

Terraform
GitHub
Buildkite
ArgoCD
Datadog
Falco

Job description

the company is building scalable Compute infrastructure with a remote-first approach. As a Software Engineer L2, you will evolve and maintain cloud infrastructure, automate deployments, and work with AWS services, AMIs, and EC2 to deliver robust, scalable solutions. You’ll collaborate with global teams and contribute to security and best practices.

Join us to shape the future of our cloud platform, valuing initiative, automation, and reliable operations across distributed systems.

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