Senior DevOps Engineer, Normal Computing

$150-250k

Offers Equity

AWS

Kubernetes

Python

Linux

Terraform

Ansible

Mid and Senior level

London

New York

San Francisco Bay Area

Generative AI for enterprise

Be an early applicant

Generative AI for enterprise

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Be an early applicant

$150-250k

Offers Equity

AWS

Kubernetes

Python

Linux

Terraform

Ansible

Mid and Senior level

London

New York

San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Company mission

To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.

Job

Company

Role

Who you are

4-7 years of prior experience in DevOps, SRE, Systems Engineer, or similar role
Expert experience designing and building cloud-based infrastructure on Linux, and proficiency with AWS and Kubernetes
Expert ability to write clean, effective and scalable code in an object oriented language, preferably Python or Go
Expert experience with infrastructure as code tooling (eg. Terraform, OpenTofu)
Experience with defining best in class CI/CD standards
Experience supporting backend services in Python or other object-oriented languages
Base line level of experience in networking including load balancing and VPN technologies
Reliable, resourceful, and flexible - you deliver on your commitments, value outcomes, and adapt quickly when priorities shift

Desirable

Meaningful experience working and building within or for the semiconductor industry, or developing hardware products or software for hardware products
Experience working with LLMs or collaborating with ML teams
Experience with infrastructure and workflow automation in Ansible

What the job involves

We are hiring a Sr DevOps Engineer to design and build high-performance cloud based infrastructure and services
This role provides an opportunity to get firsthand experience prototyping and launching transformative AI experiences in one of the world’s most important industries - Semiconductors
Previous experience with the AI Engineering or Semiconductor industry is valued, but not required
Designing, building, and operating infrastructure for Normal’s products, automating development processes, and ensuring product reliability in our Linux environment
Collaborating with product and AI teams to define and implement DevOps standards
Deploying and managing Normal’s product stack in our clients environments
Designing and implementing Continuous Integration/Continuous Deployment (CI/CD) pipelines for software and data workloads, integrating security checks and policy enforcement
Implement logging, monitoring, and alerting best practices, manage credentials, and ensure regulatory compliance (e.g., SOC2)
Performing the continued evolutions, maintenance operations and upgrades on all of Normal’s infrastructure

Our take

As the rate of AI adoption accelerates, Normal Computing sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.

The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.

By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Nov 2024

$67.3m

GRANT

Jun 2023

$8.5m

SEED

Total funding: $84.3m

Company HQ

Civic Center, New York, NY

Leadership

Faris Sbahi

(Co-Founder & CEO)

Has worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.

Matthias Tan

(Co-founder)

Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.

Share this job

View 4 more jobs at Normal Computing