SRE - Observability (Senior) at Lambda

San Francisco, California, United States

Apply Now

$267,000 – $401,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI/ML, Cloud Computing, HPCIndustries

Requirements

8+ years of experience in software engineering, with 3+ years in Go
5+ years of experience in Site Reliability Engineering practices
Proven understanding of Observability tools and practices
Experience with application deployment and monitoring using Kubernetes
Experience building CI/CD pipelines
Expect quality and reliability from the solutions you build
Enjoy collaborating across team boundaries to help our engineering teams meet their observability needs

Responsibilities

Deploy and operate observability platforms for logging, metrics, and distributed tracing
Automate the deployment and operation of these observability systems
Set up monitoring for modern AI/HPC clusters
Develop platform software to make observability adoptable and improve system reliability across Lambda engineering
Lead members of other engineering teams to design and develop solutions for their monitoring challenges

Skills

Key technologies and capabilities for this role

GoKubernetesPrometheusPromQLNATSCI/CDSREObservability

Questions & Answers

Common questions about this position

What is the salary range for this SRE position?

The annual salary range is $267K - $401K, though it may vary based on qualifications differing from those listed.

Is this role remote or hybrid, and what's the office requirement?

This is a hybrid role requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What are the key required skills for this Senior SRE role?

Candidates need 8+ years in software engineering with 3+ years in Go, 5+ years in SRE practices, proven understanding of observability tools, Kubernetes experience for deployment and monitoring, and CI/CD pipeline building.

What is the company culture like at Lambda?

Lambda emphasizes collaboration across team boundaries, expects quality and reliability in solutions, and offers generous cash and equity compensation in a fast-growing environment with around 350 employees.

What makes a strong candidate for this SRE role?

A strong candidate has the required 8+ years software engineering experience including Go and SRE, plus nice-to-haves like Prometheus, OpenTelemetry, AI/HPC monitoring, and infrastructure tools like Ansible and Terraform.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free