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

WHAT YOU'LL WORK ON: You will help build and operate Regal’s voice agent platform across containerized services, event-driven systems, and AI workloads running at production scale.

ABOUT YOU:

• 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles
• Deep experience operating production workloads on AWS
• Strong hands-on experience with Terraform or comparable IaC tooling
• Experience running containerized and serverless systems at scale
• Strong understanding of distributed systems reliability and failure modes
• Experience building CI/CD pipelines and developer automation tooling

NICE TO HAVE:

• Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling
• Experience building or managing self-serve developer environments at scale
• Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them
• Experience supporting AI/ML or real-time workloads
• Cost optimization and cloud efficiency initiatives
• Exposure to compliance frameworks (SOC2, HIPAA, PCI)

BENEFITS/PERKS:

• We care about your health!
• Medical, Dental, and Vision plans - 80% covered by the company
• Flexible PTO & 11 paid holidays/year
• We care about future you!
• 401k Plan
• Paid parental leave
• Pre-tax commuter benefits
• We care about connection!
• In-office breakfast and snacks daily

POSITION LOCATION & OFFICE DETAILS: This position is only available in New York City (HQ- Midtown). Hybrid roles are required in office T/W/TH and office optional M/F.

• If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it), we want to hear from you!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.