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Nash

Staff Infrastructure and Performance Engineer

Reposted 18 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Staff Infrastructure and Performance Engineer will enhance the performance, reliability, and scalability of Nash's core infrastructure, focusing on aws-based systems, postgres performance, and multi-region deployments.
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Staff Infrastructure & Performance Engineer

About Nash

Logistics is the substrate beneath every economy that has ever existed, and it remains the least intelligently coordinated activity in the modern world. Consumer expectations are converging on instantaneous, perfect, free. Networks are not. We call this gap the Logistics Singularity, and closing it is the work.

Nash is the Autonomic Logistics OS. We unify decisioning, execution, and capacity into a single programmable system that runs the operation at equilibrium across orders, fleets, carriers, and customers. The world's largest retailers, grocers, and pharmacies (including Walmart, 7-Eleven, Woolworths, Coles, and Pet Circle) run their critical workflows on Nash.

Founded by Mahmoud Ghulman and Aziz Alghunaim, and backed by Y Combinator, a16z, and other top investors. Headquartered in San Francisco.

About the Role

As a Staff Infrastructure Performance & Engineer, you will own and evolve the performance, reliability, and scalability of Nash’s core infrastructure. You’ll work directly with the Engineering Leadership team, platform, and product engineering teams to design and operate low-latency, business-critical systems that power real-time logistics for some of the largest retailers in the world.

This is a senior, high-impact role focused on elastic capacity, high availability, cloud-native architectures, Postgres performance, and enterprise-grade CI/CD and multi-region deployments. You will set technical direction, define best practices, and deploy systems for the largest retailers in the world powering their business critical workflows.

Responsibilities
  • Own infrastructure performance and reliability across Nash’s production systems, with a focus on low latency, high throughput, and predictable behavior under load.

  • Design, build, and optimize AWS-based infrastructure, leveraging managed services with a strong emphasis on ECS/Fargate.

  • Lead Postgres performance engineering, including query optimization, indexing strategies, connection management, replication, cluster design, and failover.

  • Architect and operate multi-region, highly availability systems with strong resiliency, disaster recovery, and failover guarantees.

  • Design and evolve enterprise-grade CI/CD pipelines that support safe, repeatable, and fast deployments across environments and regions.

  • Drive observability standards (metrics, logs, tracing, SLOs) and use data to proactively identify and eliminate performance bottlenecks.

  • Partner with application engineers to influence system design decisions that impact scalability, latency, and reliability.

  • Lead incident response and postmortems, focusing on root cause analysis, systemic fixes, and long-term resilience.

  • Set infrastructure and performance best practices and mentor engineers across the organization.

Requirements
  • 6+ years of experience building and operating high-scale, production infrastructure for business-critical systems.

  • Deep expertise in AWS, including networking, compute, storage, and managed services.

  • Hands-on experience running production workloads on ECS/Fargate at scale.

  • Strong background in Postgres, including performance tuning, replication, high availability, and operational excellence.

  • Proven experience designing and operating multi-region architectures with strict uptime and reliability requirements.

  • Strong understanding of CI/CD for enterprise deployments, including rollout strategies, environment isolation, and rollback safety.

  • Experience building low-latency systems where milliseconds matter.

  • Excellent debugging and systems-level problem-solving skills.

  • Ability to operate autonomously and lead technical initiatives in a fast-paced startup environment.

More about Nash

Nash is the platform that powers modern logistics.

Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.

Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.

We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.

Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.

What You’ll Love About Us

✅ Early-stage, well-funded startup – directly impact the company and grow your career!
✅ Quarterly broader team on-sites to bond with teammates
✅ Competitive compensation and opportunity for equity
✅ Flexible paid time off
✅ Health, dental, and vision insurance


#BI-Remote

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