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HarveyHarveySan Francisco, CA

Senior Engineering Manager, Production Engineering

Lead the Infrastructure Foundation & Production Quality Engineering team at Harvey, owning core compute, networking, Kubernetes, and workflow orchestration platforms. Drive reliability, scalability, security, and cost optimization for rapidly growing AI workloads while mentoring engineers and partnering with cross-functional leaders.

272k – 355k
Hybrid7+ YOEEngineering Management

About the role

What You'll Do

Leadership & Strategy

  • Lead, mentor, and grow a team of high-performing infrastructure engineers responsible for Harvey's production infrastructure foundation.
  • 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.

Infrastructure Foundation & Production Operations

  • 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 to ensure infrastructure scales efficiently with business growth.
  • Operate and continuously improve Harvey's Kubernetes platform, including cluster provisioning, upgrades, monitoring, reliability, performance, and operational automation.
  • Own Harvey's Temporal-based workflow orchestration platform, ensuring reliable, scalable, and observable execution of distributed application workflows.
  • 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 across the infrastructure platform.

What You Have

  • 7+ years of software or infrastructure engineering experience, including 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 with the ability to communicate technical concepts clearly to both engineering and executive audiences.
  • A systems-thinking mindset and passion for building simple, reliable, and scalable infrastructure platforms.

Nice to Have

  • Experience operating workflow orchestration platforms such as Temporal.
  • Experience supporting AI/ML or LLM infrastructure at scale.
  • Experience managing GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
  • Experience with multi-cloud infrastructure or hybrid cloud environments.

Skills

KubernetesTerraformPulumiAWSAzureGCPTemporalInfrastructure As CodeObservabilityCapacity Planning
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