Software Development Engineer in Test

About the Company

We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Our goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation.

Responsibilities

• Define and own the strategy for system-level validation
• Design and build scalable automation frameworks for API, integration, and end-to-end testing
• Build systems that proactively detect failures before they reach production
• Drive chaos engineering and failure injection practices
• Establish CI/CD reliability gates with strong validation coverage
• Partner with SRE, platform, and backend teams to ensure systems are both observable and testable
• Lead incident analysis with a focus on improving validation and preventing recurrence
• Mentor engineers and raise the bar for system reliability and quality

Requirements

• 4-8 years of industry experience in QA or Automation Engineering
• Deep expertise in Kubernetes internals, debugging, and multi-cluster systems
• Strong understanding of distributed systems behavior and failure modes
• Hands-on experience with EKS, GKE, or managed Kubernetes platforms
• Proficiency in networking concepts including VPC, load balancers, and IAM
• Mandatory strong coding skills in Python and Go
• Proficiency in Shell scripting and infrastructure automation
• Experience with chaos testing and reliability engineering practices