Infrastructure Managed Service Analyst Jobs
Infrastructure Managed Service Analyst jobs are open across managed IT services, enterprise technology, and healthcare and finance sectors, from entry-level support analyst to senior service delivery roles, with specializations in ITIL service management, SLA monitoring, and incident response. Find a role that fits below and apply directly.
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Showing 5 of 224+ Infrastructure Managed Service Analyst jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in software engineering leadership in ML Infrastructure, ML, or product-focused AI.
- 5 years of experience with large scale distributed systems.
- 2 years of experience in a people management or team leadership role.
- Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Demonstrated experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our goal is to establish intelligent AI agent as a primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. In this role, you will focus on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a team of engineers, driving career growth, team culture, and execution across data collection, evaluation generation, and unified benchmarks.
- Act as Tech Lead for the Quality Flywheel, architecting systems for scalable data collection, realistic simulation environments, eval generation, and online hill climbing.
- Direct software design and implementation for next-gen evaluation infrastructure (Eval Infra), tooling, and Gemini post-training systems adhering to architectural best practices.
- Partner across teams to distill complex, ambiguous model and platform requirements into simplified, robust technical solutions.
- Drive overarching testing and reliability architecture, advocating production stability, test environment improvements, and on-call operational support.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in software engineering leadership in ML Infrastructure, ML, or product-focused AI.
- 5 years of experience with large scale distributed systems.
- 2 years of experience in a people management or team leadership role.
- Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Demonstrated experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our goal is to establish intelligent AI agent as a primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. In this role, you will focus on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a team of engineers, driving career growth, team culture, and execution across data collection, evaluation generation, and unified benchmarks.
- Act as Tech Lead for the Quality Flywheel, architecting systems for scalable data collection, realistic simulation environments, eval generation, and online hill climbing.
- Direct software design and implementation for next-gen evaluation infrastructure (Eval Infra), tooling, and Gemini post-training systems adhering to architectural best practices.
- Partner across teams to distill complex, ambiguous model and platform requirements into simplified, robust technical solutions.
- Drive overarching testing and reliability architecture, advocating production stability, test environment improvements, and on-call operational support.
Infrastructure Managed Service Analyst Jobs by Experience Level
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Find JobsInfrastructure Managed Service Analyst Job Market
Who's Hiring
- Amazon77
- ByteDance28
- TikTok18
- Meta11
- Samsung Electronics7
Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services3
- Science & Research1
- Telecommunications1
- Media & Entertainment1
What Employers Look For
The qualifications that appear most often in infrastructure managed service analyst jobs.
- Experience with ITIL frameworks and service management best practices
- Proficiency in monitoring, alerting, and remote management tools
- Strong knowledge of network infrastructure, servers, and cloud environments
- Ability to manage and resolve incidents within defined SLA windows
- ITIL Foundation certification or equivalent service management credential
- Experience creating and maintaining technical documentation and runbooks
Tips for Your Infrastructure Managed Service Analyst Job Search
Tailor your resume to SLA metrics
Hiring managers for managed service roles want to see how you performed against service level agreements, not just that you worked in IT. Quantify your uptime contributions, mean time to resolution, and ticket closure rates in every relevant role you list.
Highlight your ITIL or service desk certifications
ITIL Foundation is the credential most infrastructure managed service analyst postings mention first. If you hold it, place it near the top of your resume. If you're pursuing it, note the expected completion date so recruiters don't skip past you.
Apply early to roles that fit
Migrate Mate lists infrastructure managed service analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by vendor stack before you apply
Many postings are written around a specific RMM tool, ticketing platform, or monitoring stack. Match your applications to roles that name tools you've used hands-on, since competency questions in interviews almost always go deep on the platforms listed in the job description.
Prepare for scenario-based technical screens
Expect interviewers to walk you through a live outage or escalation scenario and ask how you'd triage, communicate, and document it. Practice narrating your decision process out loud, not just the technical steps, because managed service roles are as much about client communication as resolution.
Negotiate shift differentials and on-call terms
Many infrastructure managed service positions include after-hours or on-call rotations. Before accepting an offer, clarify the rotation schedule, escalation expectations, and whether on-call compensation is built into base pay or paid separately, so you're comparing offers on equal terms.
Infrastructure Managed Service Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most infrastructure managed service analysts?
The most active employers for infrastructure managed service analysts right now are Amazon, ByteDance, and TikTok, and the most openings are in California, Washington, and Texas, based on current listings on Migrate Mate as of November 2026. Managed service providers and large enterprise IT departments tend to hire most consistently throughout the year.
How many infrastructure managed service analyst jobs are remote?
About 29% of infrastructure managed service analyst openings are fully remote or hybrid as of November 2026, though availability varies by function. Roles focused on monitoring, documentation, and ticket management are most likely to be fully remote, while positions involving on-site client support or hands-on hardware work are almost always in-person or hybrid.
How do you become an infrastructure managed service analyst?
Start by building foundational IT knowledge through a degree in information technology, computer science, or a related field, or through self-study paired with entry-level certifications like CompTIA A+ or Network+. Gain hands-on experience in a helpdesk or IT support role, then pursue an ITIL Foundation certification to demonstrate service management competency. From there, target junior analyst roles at managed service providers to build direct experience with RMM tools, SLA management, and client escalation processes.
Can you get an infrastructure managed service analyst job with little experience?
Yes, entry-level infrastructure managed service analyst roles do exist, and managed service providers frequently hire candidates coming from helpdesk or IT support backgrounds. Focus your applications on junior analyst or associate analyst titles, emphasize any ticketing system experience you have, and pair your application with an ITIL Foundation certification, which signals service management readiness even without years of direct MSP experience.
What does the infrastructure managed service analyst interview process look like?
Most hiring processes start with a recruiter screen focused on your IT background and certifications, followed by a technical interview that covers networking fundamentals, incident management procedures, and familiarity with monitoring or remote management tools. A scenario-based round is common, where you walk through how you'd handle a service outage or client escalation. Final rounds often include a conversation with a service delivery manager about SLA expectations and shift requirements.
Where can I find and apply to infrastructure managed service analyst jobs?
You can find and apply to infrastructure managed service analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles by location, experience level, or specialization, find the ones that fit your background, and apply directly to each listing.
See All 224+ Infrastructure Managed Service Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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