Senior DevOps Engineer at Normal Computing

New York, New York, United States

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$150,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AIIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

DevOpsSRELinuxCI/CDCloud InfrastructureMonitoringAlertingLoggingSOC2Security

Questions & Answers

Common questions about this position

What is the salary range for the Senior DevOps Engineer position?

The salary range is $150K - $250K.

Is this a remote, hybrid, or on-site role?

This is a hybrid position.

What are the key skills required for this Senior DevOps Engineer role?

Required skills include 4-7 years in DevOps/SRE/Systems Engineer roles, expert experience with cloud-based infrastructure on Linux using AWS and Kubernetes, proficiency in Python or Go, and infrastructure as code tools like Terraform or OpenTofu.

What is the company culture like at Normal Computing?

Normal Computing has a tightly-knit team where every employee drives significant impact, often working directly with customers; team members are driven by curiosity and passion for solving challenging problems.

What makes a strong candidate for this Senior DevOps Engineer role?

A strong candidate has 4-7 years of DevOps experience, expertise in AWS, Kubernetes, Python/Go, and IaC tools, plus traits like being reliable, resourceful, flexible, and outcome-focused; bonus for semiconductor or AI/ML experience.

Normal Computing

Develops generative AI for enterprises

About Normal Computing

Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for critical applications in high-stakes environments.

New York City, New YorkHeadquarters

2022Year Founded

$80.7MTotal Funding

GRANTCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Flexible Work Hours

Risks

Competition from IBM and Intel in thermodynamic computing could challenge market position.

Global semiconductor shortages may impact hardware scaling capabilities.

AI regulatory changes in the EU and US could increase compliance costs.

Differentiation

Normal Computing uses Probabilistic AI for reliable, adaptive enterprise applications.

Their thermodynamic computer enhances AI reliability and efficiency, a first in the industry.

Founded by ex-Google Brain and X engineers, they have a strong AI development pedigree.

Upsides

Selected for ARIA's £50M Scaling Compute Program, boosting funding and visibility.

Raised $8.5M in seed funding to advance Probabilistic AI technology.

Growing demand for AI solutions in risk-averse industries like banking and government.

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