Software Dev Engineer I, Security Platform

About the Role

Twitch Security Platform builds and operates foundational software, data, and automation for security at scale. As a Software Development Engineer I (SDE I) on the Security Platform team, you will design, build, and operate critical services, pipelines, and tooling that power Twitch's security, privacy, and compliance programs. You will work at the intersection of software, security, privacy, and data engineering, contributing production systems that handle large-scale security telemetry, automate security workflows, and provide reliable data and services to internal teams. You will partner closely with engineers and product teams to solve real-world security problems through well-designed software. This role is ideal for an engineer who learns quickly, values operational excellence, and wants to see their work directly improve Twitch's security posture.

Key Responsibilities

• Work with technical program managers, technical leads, and other engineers to design, develop, launch, and operate security and privacy software.
• Work backwards from security and privacy problems to drive business impact.
• Maintain and improve existing backend services.

Requirements & Tech Stack

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Experience developing software in a professional environment.
• Fluency in a modern language, such as Go.
• Prior experience building internal tooling/products for other developers.

Bonus Points

• Experience building software and services using AWS technologies such as ECS, DynamoDB, Lambda, SQS, and Step Functions.
• Experience with infrastructure-as-code (e.g., AWS CDK) or CI/CD pipelines.
• Familiarity with Twitch, gaming, and/or streaming on Twitch.
• Familiarity with security, data, and privacy systems, such as security or audit data lakes, cloud authentication and authorization flows, vulnerability scanning and remediation pipelines, and privacy or compliance-driven workflows (e.g., CCPA, GDPR-related controls).
• Experience working with large-scale event or log data, including event-driven architectures, asynchronous processing, or batch/streaming pipelines.
• Experience integrating AI-assisted development or analysis tools into engineering workflows, such as using LLM-powered tooling, automation, or MCP-style platforms to improve developer productivity or system insight.