IT Systems Engineer - Internal Platforms & SRE

Lambda Inc.

Job Overview

Location

San Francisco Office (Fremont St)

Job Type

Full-time

Full Job Description

📋 Description

• 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.

🎯 Requirements

• Have a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.).
• Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations.
• Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.).
• Have solid programming skills: Python, Go, etc.

🏖️ Benefits

• The annual salary range for this position has been set based on market data and other factors.
• Generous cash & equity compensation.
• Health, dental, and vision coverage for you and your dependents.
• Wellness and commuter stipends for select roles.
• 401k Plan with 2% company match (USA employees).
• Flexible paid time off plan that we all actually use.

Skills & Technologies

Python

AWS

Azure

GCP

Terraform

DevOps

Senior

Onsite

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Lambda Inc.

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About Lambda Inc.

Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.

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