AI Operations Engineer — Cloud Systems & Automation

Lambda

San Jose (CA)

On-site

USD 206,000 - 275,000

Full time

14 days+
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Job summary

Lambda, The Superintelligence Cloud, is hiring for an Information Systems engineer to design and implement scalable internal IT systems. You will help ensure availability, reliability, and performance across Lambda’s platforms, and collaborate with engineering to drive architectural standards.

You will automate responses to non-exceptional events, forecast capacity, and document solutions for cross-team use.

Qualifications

  • Experience designing scalable distributed systems.
  • Proficiency with Python or Go.
  • Experience with cloud platforms (AWS, GCP, Azure).

Responsibilities

  • Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms.
  • Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.
  • Work with Lambda Engineering and internal teams to influence and create new designs, architectures, standards, and methods for large-scale distributed systems.
  • Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.
  • Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for.

Skills

Python
Go
Cloud platforms
Terraform
Chef/Ansible
GitHub Actions
System design
Documentation

Tools

Terraform
GitHub Actions
Chef
Ansible
CI/CD

Job description

Lambda, The Superintelligence Cloud, is hiring for an Information Systems engineer to design and implement scalable internal IT systems. You will help ensure availability, reliability, and performance across Lambda’s platforms, and collaborate with engineering to drive architectural standards.

You will automate responses to non-exceptional events, forecast capacity, and document solutions for cross-team use.

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