Mid Level Infrastructure Engineer Jobs
Mid level infrastructure engineer jobs go to engineers ready to own systems end to end, make architectural decisions with limited oversight, and guide junior teammates through complex deployments. On-site, remote, and hybrid roles across Technology & Software, Retail, and Consulting & Professional Services are actively open, with employers like Speechify, Amazon, and CVS Health hiring at this level now.
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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Director of Product Data Science.
You will:
In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:
- Building and maintaining data science models to help make data driven infrastructure decisions
- Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement
- Collaborate with XFN partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo
You have:
Solid background and applied work experience in operations research, optimization, or supply chain
Master's degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or a related discipline)
We prefer:
Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Director of Product Data Science.
You will:
In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:
- Building and maintaining data science models to help make data driven infrastructure decisions
- Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement
- Collaborate with XFN partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo
You have:
Solid background and applied work experience in operations research, optimization, or supply chain
Master's degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or a related discipline)
We prefer:
Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field
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Find JobsMid Level Infrastructure Engineer Job Market
Who's Hiring
- Speechify59
- Amazon57
- CVS Health51
- Google42
- JPMorganChase20
Top Industries Hiring
- Technology & Software351
- Retail72
- Consulting & Professional Services72
- Artificial Intelligence66
- Healthcare & Medical Services66
Mid Level Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a mid level infrastructure engineer job?
Position yourself around ownership, not just task completion. Highlight projects where you designed or rebuilt infrastructure components, made decisions without heavy supervision, and resolved production incidents. Tailor your resume to show specific systems you managed and their scale. Certifications in cloud platforms or infrastructure tooling strengthen your application, and a GitHub or portfolio showing real infrastructure-as-code work helps you stand out.
Which companies hire mid level infrastructure engineers?
Companies hiring mid level infrastructure engineers right now include Speechify, Amazon, and CVS Health, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of enterprises scaling cloud infrastructure, fast-growing tech companies modernizing on-premises systems, and managed service providers building out client environments.
Are there remote mid level infrastructure engineer jobs?
Yes, though availability varies by employer and specialization. About 34% of mid level infrastructure engineer openings are remote or hybrid as of July 2026, reflecting the operational nature of the role. Fully remote positions tend to favor engineers with strong async communication habits and experience managing infrastructure without hands-on data center access.
How do I move up to a mid level infrastructure engineer role?
Growth into a mid level role comes from deepening ownership over time. Early-career engineers who take on progressively larger systems, contribute to architectural discussions, document runbooks, and drive incidents to resolution build the profile hiring managers look for. Demonstrating impact through measurable improvements, such as reducing downtime or automating manual processes, is what separates a mid level candidate from someone still at the junior stage.
Which industries hire the most mid level infrastructure engineers?
Mid Level infrastructure engineer roles concentrate in Technology & Software, Retail, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they rely on always-on, scalable infrastructure to support high transaction volumes, regulated data environments, or rapid product growth that requires engineers who can operate with real autonomy.