Senior Infrastructure Engineer - Scalable Cloud & Kubernetes

Harvey; New York (NY); On-site; USD 161,300 - 241,900; Full time

Job summary

Harvey is seeking a Production Engineer to build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration, and production foundations for AI workloads. You’ll work to improve reliability, scalability, security, and efficiency, partnering with multiple engineering teams to deliver resilient infrastructure.

You will own capacity planning, automation, observability, and incident response while driving cost efficiency and secure foundations across

Qualifications

• 5+ years in software, infrastructure, SRE, or production engineering.
• Deep experience building and operating large-scale cloud infrastructure on AWS/Azure/GCP.
• Strong hands-on Kubernetes production experience.
• Experience with Infrastructure-as-Code (Terraform or Pulumi).
• Security and compliance basics for infrastructure.

Responsibilities

• Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads.
• Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
• Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.
• Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.
• Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.
• Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.
• Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
• Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.
• Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.
• Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.
• Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.
• Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.
• Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.
• Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.
• Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.

Skills

Production engineering

SRE mindset

Cloud infrastructure

Kubernetes in production

Capacity planning

Shutdown of incidents

Tools

Terraform

Pulumi

Kubernetes

AWS

Azure

GCP

Job description

Harvey is seeking a Production Engineer to build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration, and production foundations for AI workloads. You’ll work to improve reliability, scalability, security, and efficiency, partnering with multiple engineering teams to deliver resilient infrastructure.

You will own capacity planning, automation, observability, and incident response while driving cost efficiency and secure foundations across