Senior Site Reliability Engineer, Observability
Chainlink LabsSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
$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
Go
Kubernetes
Prometheus
PromQL
NATS
CI/CD
SRE
Observability
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.
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