Mid Level Infrastructure Automation Engineer Jobs
Mid level infrastructure automation engineer jobs call for engineers ready to own pipelines and tooling end to end, mentor junior teammates, and make infrastructure decisions with limited oversight. Roles cover 0% remote and hybrid settings across Distribution & Wholesale, Healthcare & Medical Services, and Consulting & Professional Services, with employers like HDR, Google, and Fujifilm North America hiring at this level now.
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See related jobsMinimum qualifications:
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
- 3 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
- Experience in one or more programming languages such as C++, Go, or Python.
Preferred qualifications:
- Experience utilizing SQL and querying complex data structures to retrieve network diagnostics, combined with statistical analysis or AI/ML insights to identify failure trends.
- Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
- Experience developing software tools that programmatically analyze and troubleshoot global-scale IP (e.g., routing protocols, control planes) or optical networks (e.g., DWDM, OTN).
- Experience in Go programming and working with internal RPC/service frameworks, databases, and large-scale data pipelines.
- Experience creating formal technical requirements and design documents for complex, scalable software applications and services.
About the job
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.
In this role, you will work at the intersection of global core network engineering and software engineering to build software solutions and introduce technologies. You will design and implement systems that directly enhance Google's network reliability, reduce operational toil, and optimize global cost per byte.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $126000 - $181000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the quantifiable analysis of measurements, or data and capacity forecast models for making networks more scalable, efficient, and deliver predictable user experience.
- Evaluate the current inefficiencies, complexities, and flaws in network systems, and propose designs, software, and processes to improve them.
- Develop software that improves the performance, safety, transparency, and manageability of network systems.
- Participate in rotating schedules with other team members, including weekends.
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
- 3 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
- Experience in one or more programming languages such as C++, Go, or Python.
Preferred qualifications:
- Experience utilizing SQL and querying complex data structures to retrieve network diagnostics, combined with statistical analysis or AI/ML insights to identify failure trends.
- Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
- Experience developing software tools that programmatically analyze and troubleshoot global-scale IP (e.g., routing protocols, control planes) or optical networks (e.g., DWDM, OTN).
- Experience in Go programming and working with internal RPC/service frameworks, databases, and large-scale data pipelines.
- Experience creating formal technical requirements and design documents for complex, scalable software applications and services.
About the job
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.
In this role, you will work at the intersection of global core network engineering and software engineering to build software solutions and introduce technologies. You will design and implement systems that directly enhance Google's network reliability, reduce operational toil, and optimize global cost per byte.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $126000 - $181000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the quantifiable analysis of measurements, or data and capacity forecast models for making networks more scalable, efficient, and deliver predictable user experience.
- Evaluate the current inefficiencies, complexities, and flaws in network systems, and propose designs, software, and processes to improve them.
- Develop software that improves the performance, safety, transparency, and manageability of network systems.
- Participate in rotating schedules with other team members, including weekends.
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Who's Hiring
Top Industries Hiring
- Distribution & Wholesale
- Healthcare & Medical Services
- Consulting & Professional Services
Mid Level Infrastructure Automation Engineer Jobs: Frequently Asked Questions
How do I get a mid level infrastructure automation engineer job?
Position yourself around ownership, not just execution. Highlight specific pipelines, CI/CD systems, or infrastructure-as-code projects you designed or led rather than contributed to. Emphasize decisions you made independently, tools you introduced, and outcomes you can quantify. Recruiters at this level want engineers who have moved beyond following runbooks to writing and owning them.
Which companies hire mid level infrastructure automation engineers?
Companies hiring mid level infrastructure automation engineers right now include HDR, Google, and Fujifilm North America, based on current listings on Migrate Mate as of August 2026. Both large enterprises scaling their platform teams and growth-stage technology companies building out infrastructure practices hire actively at this level.
Are there remote mid level infrastructure automation engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 0% of mid level infrastructure automation engineer openings are remote or hybrid as of August 2026, reflecting how distributed platform and DevOps teams have become across most industries. On-site roles still exist, particularly in regulated sectors like finance and defense.
How do I move up to a mid level infrastructure automation engineer role?
The path from entry level to mid level is built through progressively deeper ownership. Early career engineers move up by taking initiative on automation projects beyond assigned tickets, learning infrastructure-as-code tools like Terraform or Ansible in production contexts, and demonstrating measurable reliability improvements. Consistent project ownership and cross-team collaboration signal readiness for a mid level role.
Which industries hire the most mid level infrastructure automation engineers?
Mid Level infrastructure automation engineer roles concentrate in Distribution & Wholesale, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they operate complex, high-availability systems that require engineers who can own automation at scale without close supervision.