DevOps Engineer, Reality Defender

$100-250k

+ Offers Bonus & Equity

AWS

Kubernetes

Linux

Terraform

Prometheus

Grafana

Datadog

Pulumi

Mid and Senior level

Remote from US

Enterprise-grade deepfake detection

Be an early applicant

Enterprise-grade deepfake detection

21-100 employees

B2BArtificial IntelligenceSecurityPrivacyIdentity

Be an early applicant

$100-250k

+ Offers Bonus & Equity

AWS

Kubernetes

Linux

Terraform

Prometheus

Grafana

Datadog

Pulumi

Mid and Senior level

Remote from US

21-100 employees

B2BArtificial IntelligenceSecurityPrivacyIdentity

Company mission

To help companies, governments, and journalists determine if media is real or fake, focusing on audio, video and image manipulation.

Job

Company

Role

Who you are

4+ years experience in DevOps, SRE, or infrastructure engineering roles
Deep experience with at least one major cloud provider (AWS strongly preferred)
Strong production experience with:
Kubernetes & container orchestration
CI/CD systems (GitHub Actions, GitLab CI, etc.)
Infrastructure as Code
Linux & networking fundamentals
Proven track record supporting distributed, high-traffic systems
Experience implementing monitoring, logging, and alerting (Prometheus, Grafana, Datadog, etc.)
Strong security mindset and experience with secrets management, IAM, and network isolation

What the job involves

As a DevOps Engineer, you’ll design and operate the infrastructure that powers our production AI detection platform
You will own cloud architecture, reliability, deployment pipelines, and security posture—ensuring our systems can scale to global demand while remaining resilient, observable, and cost-efficient
This is a hands-on role with real ownership over platform decisions and technical direction. Responsibilities include:
Architect and operate high-availability, low-latency cloud infrastructure for real-time AI inference services
Build and maintain CI/CD pipelines that support rapid, safe iteration across backend and ML systems
Own production reliability: monitoring, alerting, incident response, and capacity planning
Lead infrastructure automation using Infrastructure as Code (Terraform, Pulumi, etc.)
Partner closely with backend and ML engineers to productionize new models and services
Harden our systems for security, compliance, and data protection
Optimize cost, performance, and scalability as usage grows
Establish best practices around observability, deployment strategies, and disaster recovery

Our take

Reality Defender was born out of The AI Foundation to help protect the 2020 US Elections from the threat of deepfakes. It officially launched as a company in 2021, based in New York. Today there continues to be a genuine issue where the public cannot decipher what is true or false online due to the existence of easily-created deepfakes.

Reality Defender's platform empowers enterprises to highlight and flag fraudulent users and content found online. Its API and app also provide risk scoring, reporting, and forensics review.

Reality Defender was selected as part of Y Combinator’s 2022 batch, the same backing received by Monzo, Airbnb and Stripe in their early days. This backing paired with the founding team’s experience of over twenty years at Google, Goldman Sachs, and the Intelligence Community, as well as its 2023 award win, has worked well for this very early-stage startup.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company HQ

Manhattan, New York, NY

Leadership

Gaurav Bharaj

(Co-Founder)

Previously the Chief Science Officer at Flawless, the Vice President of Research for The AI Foundation and a Senior Researcher for Technicolor.

Ali Shahriyari

(Co-Founder & CTO)

Previously acted as the Director of Product for The AI Foundation and as a Vice President for Originate.

Ben Colman

(Co-Founder & CEO)

Co-founded PlaceAVote. Previously acted as NYC Lead for Xoogler.co, CEO for Convertix, and Vice President for Goldman Sachs.

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