AI Platform Engineer, Distyl

Cloud Ops

Salary not provided

Plus equity

Kubernetes

Terraform

Datadog

Mid and Senior level

New York

San Francisco Bay Area

3 days a week in office

Generative AI solutions for enterprises

Be an early applicant

Generative AI solutions for enterprises

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaS

Be an early applicant

Salary not provided

Plus equity

Kubernetes

Terraform

Datadog

Mid and Senior level

New York

San Francisco Bay Area

3 days a week in office

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaS

Company mission

To create the most customer-centric AI company that revolutionizes how enterprise thrive in the AI-assisted economy.

Job

Company

Role

Who you are

3-7 years of professional experience in cloud infrastructure, DevOps, or DevX roles
Expertise in Kubernetes – Hands-on experience deploying and managing containerized workloads
Cloud Automation Skills – Proficient in managing infrastructure using Terraform or similar IaC tools
CI/CD Mastery – Strong experience in automating deployments using GitHub Actions, GitLab CI, or similar tools
Observability & Monitoring – Familiarity with OpenTelemetry, DataDog, or similar monitoring stacks

What the job involves

The AI Platform Engineer – Cloud Ops role is a engineering position focused on ensuring that Distillery, our AI platform, is easily deployable, scalable, and reliable across customer hosted cloud and on-prem environments
This is a hands-on role where you will optimize cloud deployments, automate infrastructure management, and enhance developer experience—ensuring our AI platform operates seamlessly in customer environments
Deploy & Manage Cloud Infrastructure – Partner with customers to ensure Distillery runs smoothly within their environment. Develop cloud agnostic deployment tooling, using Kubernetes and Infrastructure as Code (IaC) tools like Terraform
Automate & Reduce Operational Overhead – Identify and eliminate manual effort by building tools, optimizing configurations, and improving infrastructure automation
Optimize Software Experience – Work across engineering org to build tooling to improve developer productivity via testing and automation
Secure & Harden Deployments – Apply security best practices to cloud-native applications, ensuring compliance with enterprise requirements

Our take

Distyl helps large enterprises adopt AI by providing tailored AI solutions. Its platform combines AI-native software with a top engineering team, enabling rapid implementation of AI across industries like healthcare, telecom and retail.

The company uses precision-engineered software and tools like Distillery to automate operations, transforming knowledge into AI processes. This results in faster decision-making and improved efficiency, allowing enterprises to stay competitive and optimise their operations.

With early funding secured, Distyl has quickly gained traction from Fortune 100 companies, delivering impressive outcomes like a 47% reduction in task resolution time. It will be exciting to watch the company grow and expand its capabilities in driving AI adoption in large enterprises.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Nov 2024

$20m

SERIES A

Apr 2023

$7m

SEED

Total funding: $27m

Company benefits

Equity options and healthcare
Collaborative and supportive work environment
Strong focus on personal and professional growth

Company HQ

SoMa, San Francisco, CA

Leadership

Arjun Prakash

(Co-Founder & CEO)

Previously the Head of Solutions at Snorkel AI, a Business Development Head at Palantir Technologies and an Associate at BlackRock.

Derek Ho

(Co-Founder & COO)

Previously the VP of Customers at Mendel.ai and also worked in Business Development at Palantir Technologies.

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