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:
- Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure.
- Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions.
- Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently.
- Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling.
- Improving system reliability, scalability, and performance across distributed services and real-time workloads.
- Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops.
- Operating production systems with strong ownership of uptime, incident response, and recovery automation.
- Partnering with engineering teams to improve service architecture, resiliency, and operational maturity.
- Improving cost efficiency and infrastructure utilization across AWS and other infrastructure.
- Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices.
- Participating in on-call rotations.
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.
- Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry.
- Familiarity with incident response, on-call operations, and production debugging.
- Working knowledge of networking, IAM, and cloud security best practices.
- Comfortable collaborating across engineering teams and influencing technical direction.
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
- Happy hours, team outings, & annual off-sites
- Complete laptop workstation
- & more to come!
Top Skills
Regal New York, New York, USA Office
Regal New York Headquarters Office



Regal's office is in one of Manhattan’s most energetic & commuter-friendly neighborhoods. With easy access to Grand Central, Penn Station, & major subway lines. The area offers endless lunch & after-work spots. A dynamic, walkable neighborhood blending convenience, culture, & awesome restaurants.
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