Senior Production Engineer: Scale-Driven Infra & Kubernetes

Neura Market; San Francisco (CA); On-site; USD 161,300 - 241,900; Full time

Job summary

Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure powers every customer interaction, model inference, and production workload.

We’re seeking a Production Engineer to design, operate, and scale Harvey’s compute, networking, Kubernetes, and workflow platforms. You’ll improve reliability, security, and efficiency while partnering with cross-functional teams to translate product needs into resilient infrastructure.

Qualifications

• 5+ years in software, infrastructure, SRE, or production engineering.
• Extensive experience with cloud providers (AWS/Azure/GCP).
• Hands-on Kubernetes in production and cluster lifecycle.
• Distributed systems with high reliability and performance.
• Infra automation with Terraform or Pulumi.
• Strong compute, networking, capacity planning, and ops knowledge.
• Security-focused infrastructure, IAM, and secrets management.
• Excellent communicator and able to influence without authority.
• Systems-thinking mindset to build simple, scalable platforms.
• Experience supporting AI/ML or GPU infra is a plus.

Responsibilities

• Design, build, and operate Harvey’s production infrastructure powering products and AI workloads.
• Drive technical direction across compute, networking, Kubernetes, workflow orchestration, and production operations.
• Lead cross-functional initiatives that improve reliability, scalability, security, and efficiency.
• Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate requirements into resilient infrastructure solutions.
• Establish reusable patterns, tooling, and paved paths for safe production shipping.
• Raise engineering standards through design reviews, documentation, and mentorship.
• Operate Harvey’s global compute and network infrastructure with high availability.
• Improve compute utilization, performance, and service availability amid growing workloads.
• Develop capacity models and fleet automation to scale with business growth.
• Maintain and improve the Kubernetes platform, including provisioning and upgrades.
• Drive cost efficiency via capacity management and monitoring.
• Build secure foundations (IAM, network isolation, secrets, auditing).
• Develop IaC and automation using Terraform or Pulumi.
• Enhance observability, monitoring, alerting, and incident response.
• Participate in on-call rotations and turn incidents into durable improvements.

Skills

5+ years exp

Multi-cloud infra

Kubernetes in prod

Distributed systems

Terraform/Pulumi

Observability

IAM & security

Cross-functional leadership

Strong communication

Systems thinking

Job description

Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure powers every customer interaction, model inference, and production workload.

We’re seeking a Production Engineer to design, operate, and scale Harvey’s compute, networking, Kubernetes, and workflow platforms. You’ll improve reliability, security, and efficiency while partnering with cross-functional teams to translate product needs into resilient infrastructure.