Senior DevOps Engineer

ABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue.  Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves: - Partnered with enterprise brands like Google, AAA, Ro, Coursera - Raised $82M (top tier investors including Emergence & Homebrew) - Completed 250MM+ calls - Driven $7B revenue for customers - Scaled to $## ARR - Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams.  A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: Cloud: AWS Compute: ECS Fargate, Lambda, Event-Driven Services  Infrastructure as Code: Terraform  Languages: Python, TypeScript, Bash  Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch Streaming & Queues: Kinesis, SQS, BullMQ CI/CD: GitHub Actions (Enterprise) Observability: Datadog, AWS CloudWatch Architecture: Containerized APIs, Serverless Processing, Distributed Systems AI Infrastructure: SageMaker and/or self-hosted model serving systems