Senior Software Engineer, Production Engineering

United States Digital Space LLC; New York (NY); On-site; USD 161,000 - 242,000; Full time

Job summary

United States Digital Space LLC is building an AI-powered platform for enterprise legal and professional services. We are seeking a Production Engineer to design, scale, and operate our global compute and networking infrastructure, Kubernetes platform, and production pipelines.

You will partner with product, security, and platform teams to improve reliability, performance, and cost efficiency, own on-call incidents, and drive IaC initiatives using Terraform and Pulumi across AWS/GCP/Azure.

Qualifications

• 5+ years in software, infrastructure, SRE, or production engineering.
• Deep experience building and operating large-scale cloud infrastructure.
• Strong hands-on Kubernetes in production experience.

Responsibilities

• Design, build, and operate production infrastructure powering products and AI workloads.
• Drive technical direction across compute, networking, Kubernetes, workflow orchestration, and operations.
• Lead cross-functional initiatives to improve reliability, scalability, security, and cost.
• Collaborate with Product Eng, Security, AI Infra, and Platform teams to translate requirements into resilient solutions.
• Establish reusable patterns, tooling, and best practices for shipping and operating services.
• Mentor teams and raise engineering standards with documentation and on-call rigor.

Skills

Cloud infrastructure

Kubernetes in production

Cross-functional collaboration

Communication skills

Systems thinking

Observability

Security awareness

Tools

Terraform

Pulumi

Kubernetes

AWS

Azure

GCP

Job description

Why Harvey

At the company, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At the company, the future of professional services is being written today — and we’re just getting started.

Role Overview

Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate the company’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.

In this role, you’ll improve the reliability, scalability, security, and efficiency of the company’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with the company’s rapid growth.

At the company, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.

What You'll Do

Infrastructure Engineering & Technical Leadership

• Design, build, and operate the production infrastructure that powers the company’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.

Infrastructure Foundation & Production Operations

• Build and operate the company’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 the company’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.

What You Have

• 5+ years of software, infrastructure, site reliability, or production engineering experience.
• Deep experience building and 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 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 systems, including monitoring, logging, alerting, and incident response.
• Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
• A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.
• Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.
• A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.

Nice to Have

• Experience supporting AI/ML or LLM infrastructure at scale.
• Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
• Experience with multi-cloud infrastructure or hybrid cloud environments.
• Experience building internal platforms or developer tooling that improves engineering velocity and production safety.

Compensation

$161,300 - $241,900 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.

the company is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [e-mail]