What is Strac?

Strac is an agentless Data Discovery (aka DSPM - Data Security Posture Management), Data Classification & DLP (Data Leak Prevention) that automatically discovers, classifies and remediates sensitive data (alert, label, redact, mask, block, delete).

Strac protects SaaS, Cloud, Gen AI, Browsers, On-Prem and Endpoints like O365, Slack, GDrive, AWS, Salesforce, ChatGPT, Jira, Mac, Zendesk, Azure, On-Prem (On-Prem, MS SQL SAP) and 40+ integrations.

Who uses Strac?

Strac protects enterprise companies like UiPath, Databricks, thredUP, B Capital, Crypto (dot) com!

Who are we?

We are ex-Amazonians who spent over 11 years at Amazon building their payment security infrastructure including building payment secure zone on AWS securing their billions of cards and bank accounts.

How much have we raised?

We also raised $3.5MM seed round from exceptional investors. You can read more about that here: https://techcrunch.com/2022/07/19/strac-plugs-into-slack-onedrive-and-more-to-automatically-redact-sensitive-info/ In fact, we are so lean. We are cash flow positive!

We are seeking a highly skilled Senior Full Stack Software Engineer with a strong background in software development and an excellent grasp of low-level and cloud technologies.

As a Senior Full Stack Software Engineer you’ll join a tight-knit team shipping the next generation of data-protection tools. You’ll work across the stack from React front-ends to Python/Javascript/Java micro-services, building secure, scalable features that integrate Strac with new clouds, SaaS platforms, and on-device agents. This role is designed for engineers with multiple years of experience shipping productions to production.

Responsibilities

• Design, develop, ship, and maintain backend, full-stack platform solutions, focusing on security, compliance, scalability, and performance
• Participate in code reviews, contribute to team knowledge sharing, and maintain technical documentation
• Write clean, scalable code using programming languages such as Java, JavaScript, and Python
• Work within AWS cloud architecture, designing and deploying scalable services

Minimum Qualifications

• Proficiency with Java, JavaScript and Python
• Solid understanding of HTTP/REST APIs, databases (SQL or NoSQL), and basic cloud concepts
• Expertise in AWS services (Lambda, EC2, DynamoDB, RDS, ECS, ECR, SQS) and AWS networking (VPC, Subnets, ALB, IAM)
• Strong experience using AI-native development tools like Claude Code, Cursor to accelerate coding, debugging, and refactoring
• Strong problem-solving and communication skills
• Eagerness to work remote and occasionally in-person with a high-ownership, high-trust team
• M.S. in Computer Science, Software Engineering, or related field