Take2 AI
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Senior Infrastructure Engineer
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Take2 AI Base pay range $140,000.00/yr - $180,000.00/yr Additional compensation types Stock options
About Take2 AI Take2 AI automates phonescreens with AI agents. Take2's AI Interviewers automate the end-to-end screening process—evaluating resumes, conducting phonescreens, 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 Semper Virens & 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? Checkout this video!
About The Role 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:
Experience in Developer Experience (DevX) roles, improving engineering productivity through tooling and automation
Skilled with Docker and Infrastructure-as-Code (Terraform/CDK)
Hands-on experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog)
Demonstrated SecOps capabilities: cloud security best practices, IAM, vulnerability management
Experience building internal tooling to streamline testing, QA, and operational workflows—showing full-stack expertise
Preferred:
Experience deploying AI applications in real-time streaming, low-latency environments, including optimizing datapipelines and inference workflows for sub-second responsiveness. Experience with MLOps workflows, including training, evaluating, and deploying AI/ML models in production
Familiarity with model lifecycle management—data preprocessing, experiment tracking, versioning, CI/CD for models, and automated retraining pipelines
Familiarity with security compliance frameworks (SOC2, ISO27001)
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Take2 AI by 2x.
Get notified about new Senior Infrastructure Engineer jobs in
New York City Metropolitan Area .
#J-18808-Ljbffr
Senior Infrastructure Engineer
role at
Take2 AI Base pay range $140,000.00/yr - $180,000.00/yr Additional compensation types Stock options
About Take2 AI Take2 AI automates phonescreens with AI agents. Take2's AI Interviewers automate the end-to-end screening process—evaluating resumes, conducting phonescreens, 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 Semper Virens & 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? Checkout this video!
About The Role 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:
Experience in Developer Experience (DevX) roles, improving engineering productivity through tooling and automation
Skilled with Docker and Infrastructure-as-Code (Terraform/CDK)
Hands-on experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog)
Demonstrated SecOps capabilities: cloud security best practices, IAM, vulnerability management
Experience building internal tooling to streamline testing, QA, and operational workflows—showing full-stack expertise
Preferred:
Experience deploying AI applications in real-time streaming, low-latency environments, including optimizing datapipelines and inference workflows for sub-second responsiveness. Experience with MLOps workflows, including training, evaluating, and deploying AI/ML models in production
Familiarity with model lifecycle management—data preprocessing, experiment tracking, versioning, CI/CD for models, and automated retraining pipelines
Familiarity with security compliance frameworks (SOC2, ISO27001)
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Take2 AI by 2x.
Get notified about new Senior Infrastructure Engineer jobs in
New York City Metropolitan Area .
#J-18808-Ljbffr