Optery Tech Stack

Personal data removal and privacy compliance automation for individuals and enterprises

Technology, Information and Internet San Francisco 11–50 employees Founded 2020 Privately Held

Optery operates a data removal and privacy automation platform with a Python/Django backend running on Kubernetes across AWS, GCP, and Azure. The tech stack reveals a data-intensive operation: PostgreSQL, Elasticsearch, MongoDB, and Cassandra for storage; Kafka and RabbitMQ for event streaming; Celery for task orchestration; and Puppeteer for web automation at scale. Active projects show heavy investment in generative AI integration and workflow automation, while pain points cluster around release predictability and scaling automated data removal—indicating Optery is solving for operational velocity as it expands broker coverage.

Tech Stack 31 technologies

Core StackPython Django Celery RabbitMQ Redis PostgreSQL Elasticsearch MongoDB Cassandra Kubernetes AWS React JavaScript Node.js Kafka Jira Django REST Framework GCP Azure HTMX HTML Puppeteer CSS SQL Git Apple App Store Google Play CI/CD

What Optery Is Building

◆Challenges

Increasing release predictability
Fulfilling data subject access requests
Ensuring data privacy compliance
Eradicating consumer data from data broker platforms
Manual work in release process
Removing consumer data from data brokers
Scalable automation performance
Reduce manual work
Scaling automation workflows
Automating data privacy compliance

▲Active Projects

Product features for data broker operations
Eradicating consumer data from data broker platforms
Automated workflows for data privacy services
Generative ai integration for automation
Mobile store release support
Data subject access request fulfillment
Web crawler development
Incremental improvements to the release process
Release calendar management
Release process improvement initiative

Hiring Activity

Minimal55 roles · 0 in 30d

Department

Engineering

Product

Data

Seniority

Senior

Principal

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About Optery

Optery removes personally identifiable information (home addresses, phone numbers, emails, and other sensitive data) from over 600 data broker sites. The platform serves both individual consumers and enterprise clients, offering monthly automated scans, evidence-based before-and-after reporting, and API integration options for large-scale deployments. The company completed AICPA SOC 2 Type II certification and operates a distributed engineering organization spanning Latin America, Eastern Europe, and the United States. Core capabilities include proprietary data broker scanning, automated removal workflows, and compliance automation for regulated industries.

HeadquartersSan Francisco

Company Size11–50 employees

Founded2020

Hiring MarketsBrazil, Peru, Guatemala, Mexico, Paraguay, Uruguay, Chile, Colombia

Frequently Asked Questions

What technology does Optery use to scan and remove data?

Optery's backend is built on Python/Django with Celery and RabbitMQ for distributed task processing. Web crawling uses Puppeteer; data is indexed in Elasticsearch and stored across PostgreSQL, MongoDB, and Cassandra. The platform runs on Kubernetes across AWS, GCP, and Azure for redundancy and scale.

What is Optery currently working on?

Active projects include generative AI integration for automation, web crawler development for broker discovery, automated workflows for data privacy services, data subject access request fulfillment, and improvements to release predictability and process efficiency.