DevOps Engineer, Lamini AI
$150-180k
Office located in Menlo Park, CA
LLM engine for custom model training
Open for applications
LLM engine for custom model training
21-100 employees
Open for applications
$150-180k
Office located in Menlo Park, CA
21-100 employees
Company mission
To build a future where any software engineering team can outperform general purpose LLMs with their own data.
Role
Who you are
- Bachelor’s degree in Computer Science, or a related field (or equivalent work experience)
- Proven expertise in DevOps tools and platforms, with hands-on experience building workflows and pipelines
- Deep knowledge of Docker, Kubernetes, Observability, CI/CD, cloud platforms (AWS/GCP), and related tools (docker, helm, prometheus, git, terraform etc)
- Proficiency in programming languages such as Python, Go, and shell scripting (e.g., Bash, Awk)
- Strong problem-solving skills with the ability to thrive in a fast-paced environment
- Excellent communication skills for engaging with stakeholders and documenting technical processes
Desirable
- Continuous Improvement: Proactively identify and address issues in Lamini Platform, to ensure a delightful experience of deploying Lamini Platform for customers
- Principled Approach: Advocate and implement best practices like Infrastructure as Code (IaC) IaC to ensure system reliability and consistency
- Collaborative Mindset: Work seamlessly across teams, supporting colleagues and contributing to team success
- Ownership: Take initiative to own problems end-to-end, learning new skills as needed to deliver solutions
- Technical Savvy: Experience using AI-assisted programming tools such as Copilot and Cursor is a plus
What the job involves
- We are seeking a highly skilled and motivated DevOps Engineer to join our team at a Senior or Staff level. The ideal candidate will be instrumental in managing cloud infrastructure, improving internal development workflows, and ensuring seamless release and delivery of the Lamini Platform to enterprise customers. This role involves collaborating with cross-functional teams and leveraging cutting-edge technologies to enhance our platform's reliability, scalability, and performance
- Design and implement robust software deployment processes for delivering high-quality platforms to enterprise customers
- Work with on-prem and managed Kubernetes environments on Cloud to drive product architecture design
- Maintain and enhance internal ML infrastructure on GCP VertexAI, AWS Bedrock, and private data center GPU servers
- Support the engineering team by improving the development environment (GitHub, Cloud, local setups)
- Diagnose and resolve issues related to deploying Lamini Platform in customer on-prem environments
- Ensure the reliability and performance of the platform and contribute to its continuous improvement
- Collaborate with data center vendors to manage GPU servers
- Utilize Infrastructure as Code (IaC) principles to automate provisioning and configuration management
- Partner with cross-functional teams to ensure reliability and scalability are embedded in the design of new features and services
- Document systems, processes, and findings to maintain transparency and knowledge sharing
Our take
Lamini AI is an LLM engine built to train custom models, built for software engineers who want to automate workflows and streamline the development of software. Using cutting-edge UX (user experience) systems to boost the speed of model learning, Lamini is a small company built on powerful, well-researched AI tech.
As a young and small company, Lamini will have some trouble pitting itself against the likes of Google’s Firebase ML and Vertex AI. However, with its young leadership team researching at the likes of Stanford University and its preference for Instinct GPUs over the big players (Microsoft, Meta, Google) Nvidia A100 chips, Lamini is certainly in a position to change the game. It claims to have stoked interest from Amazon, Walmart and eBay, hinting at big things to come for the small company.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
May 2024
$25m
SERIES A
Total funding: $25m
Company benefits
- Health Insurance
- Paid Time Off
- Team Retreat
- Work in a diverse team
- Benefit image
Company values
- Innovative
- Inclusive
- Passionate
- Diverse
- Learning-focused
Company HQ
Evergreen Park, Palo Alto, CA
Articles
Leadership
Sharon Zhou
(CEO & Co-Founder)Currently Angel Investor, CS Faculty Adjunct at Stanford University, Instructor at Coursera and Head fo AI & Research Science at AI Objectives Institute.
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