Engineering Manager, Production Engineering

About the job

Responsibilities

• Lead, mentor, and grow a team of high-performing infrastructure engineers.
• Foster a culture of operational excellence, engineering quality, customer ownership, and continuous improvement.
• Partner with Engineering, Security, Product, and AI Infrastructure leaders to define long-term infrastructure strategy and execution priorities.
• Drive technical direction for compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
• Lead cross-functional initiatives to improve reliability, scalability, security, operational efficiency, and infrastructure cost optimization.
• Own and operate Harvey's global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
• Manage compute resources to maximize utilization, performance, and service availability while supporting rapidly growing AI workloads.
• Lead capacity planning, demand forecasting, and fleet lifecycle management.
• Operate and continuously improve Harvey's Kubernetes platform.
• Own Harvey's Temporal-based workflow orchestration platform.
• Drive infrastructure cost optimization through capacity management, resource rightsizing, workload efficiency improvements, and utilization monitoring.
• Build and maintain 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.
• Establish comprehensive observability, monitoring, alerting, incident response, and operational readiness practices.

Requirements

• 7+ years of software or infrastructure engineering experience.
• 5+ years leading engineering teams.
• Deep expertise operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
• Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.
• Experience building and operating large-scale distributed systems with strong reliability, scalability, and performance characteristics.
• Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.
• Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.
• Experience designing and operating observability platforms, including monitoring, logging, alerting, and incident response processes.
• Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
• Demonstrated success leading complex cross-functional technical initiatives and influencing engineering strategy across organizations.
• Excellent communication skills.