About Take2 AI
Take2 AI automates phone screens with AI agents.
Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.
We are a team of Stanford GSB alums, backed by SemperVirens & Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney & Google.
Want a sneak peek of what we are building? Check out this video!
https://youtu.be/UorNA5uuQjU
About The Role
Take2 AI is hiring a Senior Infrastructure Engineer to own, scale, and secure the cloud foundation behind our AI-driven platform.
Our AWS infrastructure (EKS, EC2, ECS) already supports thousands of monthly voice interactions—we’re now looking to scale to millions. You’ll drive this growth by evolving our Kubernetes clusters, CI/CD pipelines, observability stack, and internal developer and operational tools to handle rapid scale while keeping systems reliable, secure, and fast.
This role blends DevOps, SRE, Developer Experience, and Platform Engineering responsibilities—perfect for a hands-on builder who wants to have a direct, lasting impact on our technical direction and company trajectory, own the evolution of our infrastructure, and help evolve our technical culture as an early member of the team.
In Terms of Experience
Required:
- 7+ years professional experience in infrastructure, DevOps, platform engineering, or SRE
- Bachelor’s in Computer Science, Computer Engineering, or equivalent experience
- Significant AWS experience, including operating and scaling EKS, EC2, and ECS workloads
- Experience in Developer Experience (DevX) roles, improving engineering productivity through tooling and automation
Preferred:
- Experience deploying AI applications in real-time streaming, low-latency environments, including optimizing data pipelines and inference workflows for sub-second responsiveness.Experience with MLOps workflows, including training, evaluating, and deploying AI/ML models in production environments.
- Familiarity with model lifecycle management—data preprocessing, experiment tracking, versioning, CI/CD for models, and automated retraining pipelines.
- Exposure to DBA responsibilities, backup/recovery strategies, and performance optimization
- Familiarity with security compliance frameworks (SOC 2, ISO 27001)
What You’ll Do
- Own and evolve AWS infrastructure—including EKS, EC2, and ECS—to support rapid scale from thousands to millions of monthly interactions. Build internal tools to test and validate application and voice agent functionality, improving developer productivity and quality
- Monitor, troubleshoot, and tune infrastructure for reliability, performance, and cost efficiency
- Apply cloud security best practices and maintain compliance posture as we grow
- Implement, maintain, and continuously improve CI/CD pipelines for fast, reliable delivery
- Collaborate closely with engineering teams to enhance developer experience, speed, and efficiency
- Strengthen and evolve our infrastructure standards and technical culture as a key early member on the team
