Cloud and DevOps Engineer, Distyl
+ Equity
3 days a week in office
Generative AI solutions for enterprises
Job no longer available
Generative AI solutions for enterprises
21-100 employees
Job no longer available
+ Equity
3 days a week in office
21-100 employees
Company mission
To create the most customer-centric AI company that revolutionizes how enterprise thrive in the AI-assisted economy.
Role
Who you are
- 2–5 years of experience in platform engineering, DevOps, or cloud infrastructure roles
- Hands-on experience with Kubernetes, including deploying and managing containerized workloads
- Proficient with Terraform or similar Infrastructure as Code tools
- Experience with CI/CD pipelines, using GitHub Actions, GitLab CI, ArgoCD, or Flux
- Familiar with observability tools like OpenTelemetry, Prometheus, Grafana, or DataDog
- Experience with at least one major cloud provider (AWS, Azure, or GCP); multi-cloud exposure is a plus
- Basic understanding of networking and systems, including VPCs, DNS, load balancers, and access controls
- Proficient in scripting with Python, especially for automation, internal tooling, or CI/CD workflows
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
- Strong communication and collaboration skills, with the ability to work across engineering and customer teams
What the job involves
- The Cloud & DevOps Engineer role is an engineering position on our Platform team 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 support infrastructure deployments, contribute to automation pipelines, and collaborate with senior engineers to improve the reliability, security, and performance of our systems
- You’ll gain experience across cloud infrastructure, developer experience tooling, and enterprise DevOps practices while helping shape how AI is deployed at the world’s largest companies
- Deploy & Manage Cloud Infrastructure – Collaborate with internal teams and customer engineering groups to deploy Distillery in public cloud, hybrid, and on-prem environments. Support scalable, observable, and resilient systems using Kubernetes and cloud-native architecture patterns
- Build & Maintain Infrastructure as Code – Contribute to and evolve reusable, modular Terraform configurations that enable consistent deployments across AWS and Azure. Emphasize clarity, versioning, and environment parity using GitOps and IaC best practices
- Automate & Reduce Operational Overhead – Identify opportunities to eliminate manual effort across the platform lifecycle—from provisioning to configuration management—and implement automation to improve reliability, speed, and security
- Enable Developer Productivity & Self-Service – Build internal tooling and abstractions that empower developers to deploy, test, and monitor services independently, using best practices in CI/CD, environment provisioning, and local development workflows
- Secure & Harden Deployments – Work across infrastructure and application layers to apply security controls, manage access, and meet enterprise compliance standards. Support threat modeling, secrets management, and secure service-to-service communication
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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