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Azure Infrastructure Engineer Remote Jobs in New York

Senior Infrastructure Engineer

New York, NY · On-site +1

$160K - $200K/yr

Your work will span cloud infrastructure, observability, infrastructure-as-code, application ... You will join a hybrid-remote team of skilled and collaborative software engineers dedicated to the ...

About RUM Group Inc. RUM Group Inc. is an AI infrastructure and video company. Its Quake AI ... Experience with BGP, routing policy, traffic engineering, and mitigation techniques such as remote ...

AI Infrastructure Engineer

New York, NY · Remote

$140K - $165K/yr

As an AI Infrastructure Engineer, your role will include: * Lead Technical Deployments: Drive end ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

I have an opportunity for "ElasticSearch Engineer" _ REMOTE " and I am looking for a candidate who ... Elasticsearch * logstash * kafka * azure devops * pipelines * bash and/or powershell scripting ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Deep expertise with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform ... Strong scripting and programming skills (Python, Bash, Go, etc.). * Experience with ...

DevOps Expert - Remote

New York, NY · Remote

$57.75 - $79/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Azure DevOps * Cloud Infrastructure * Site Reliability Engineering (SRE) * Platform Engineering

Sr. Platform Engineer (Remote - US)

Manhattan, NY · On-site +1

$115K - $157K/yr

... reports to the Platform Engineering Manager. This position is full-time and fully remote ... You have hands-on production cloud infrastructure experience within distributed systems. Azure ...

Infra Engineer- US

New York, NY · Remote

$110K - $144K/yr

Manage ScaleOps' cloud infrastructure across AWS, GCP, and Azure - networking, security, SSO, and ... E roles in high-scale distributed systems * Hands-on experience with at least two major cloud ...

Showing results 21-40

Azure Infrastructure Engineer Remote information

What does an Azure Infrastructure Engineer do when working remotely?

An Azure Infrastructure Engineer working remotely is responsible for designing, implementing, and managing cloud-based infrastructure solutions using Microsoft Azure. Their tasks include configuring virtual networks, deploying virtual machines, managing storage solutions, ensuring security compliance, and troubleshooting issues. They collaborate with development and IT teams to optimize cloud environments, automate deployments, and maintain system reliability and performance—all while working from a remote location. Effective communication and strong problem-solving skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as an Azure Infrastructure Engineer remote?

To thrive as an Azure Infrastructure Engineer, you need expertise in cloud architecture, networking, virtualization, and strong knowledge of Microsoft Azure services, typically supported by a bachelor's degree in IT or related field. Familiarity with tools like Azure Resource Manager, PowerShell scripting, Azure DevOps, and certifications such as Microsoft Certified: Azure Administrator Associate are often required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills for this remote role. These skills are crucial for designing, deploying, and maintaining secure, scalable cloud solutions while collaborating efficiently across distributed teams.

What are some common challenges faced by Azure Infrastructure Engineers working remotely, and how can they be addressed?

Azure Infrastructure Engineers working remotely often face challenges such as coordinating effectively with geographically dispersed teams, managing secure access to cloud resources, and staying updated with the rapidly evolving Azure platform. To address these issues, it's important to leverage collaboration tools like Microsoft Teams, establish clear communication channels, and follow best practices for cloud security and access management. Regularly participating in virtual training and knowledge-sharing sessions can also help engineers remain current and connected with their peers.

What is the difference between Azure Infrastructure Engineer Remote vs Azure Cloud Administrator?

AspectAzure Infrastructure Engineer RemoteAzure Cloud Administrator
CertificationsAzure Solutions Architect, AZ-104, AZ-700AZ-104, AZ-103, Azure Administrator Associate
Work EnvironmentRemote, cloud-focused infrastructure setup and managementRemote or on-site, managing Azure cloud resources and services
Job ResponsibilitiesDesigning, deploying, and maintaining Azure infrastructureManaging and monitoring Azure cloud environments, user access, and security

The Azure Infrastructure Engineer Remote and Azure Cloud Administrator roles share certifications and work environments but differ mainly in scope. The engineer focuses on designing and deploying infrastructure, while the administrator manages day-to-day cloud operations. Both roles are essential in cloud-based organizations and often overlap in skills and tools used.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in New York?

The most popular types of Azure Infrastructure Engineer jobs in New York are:

What are popular job titles related to Azure Infrastructure Engineer Remote jobs in New York?

For Azure Infrastructure Engineer Remote jobs in New York, the most frequently searched job titles are:

What job categories do people searching Azure Infrastructure Engineer Remote jobs in New York look for?

The top searched job categories for Azure Infrastructure Engineer Remote jobs in New York are:

Infographic showing various Azure Infrastructure Engineer Remote job openings in New York as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Field Engineer, AI Infrastructure (Remote - US)

Lavendo

New York, NY • On-site, Remote

$220K - $280K/yr

Full-time

Re-posted yesterday


Job description

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we'll share full details about the company and interview process as we get to know you and confirm mutual fit.
About the Company
Our client is a fast-scaling AI infrastructure company that helps enterprises and AI-native startups build, fine-tune, and serve their own specialized AI models - no more relying on someone else's black-box API. Their platform runs in production for some of the most recognizable names in tech, spanning text, image, embedding, audio, and multimodal workloads. Freshly backed by a Series D at a $17.5B valuation, this is a company with real scale, real customers, and real momentum behind it.
The Mission
They believe the next generation of great products will be built by companies that own their AI stack, not just rent it. Their mission is making open-model AI infrastructure genuinely fast, flexible, and production-grade for the teams building at the frontier.
The Opportunity
This is a forward-deployed engineering role where you're never far from either a terminal or a whiteboard with a VP on it. You'll work directly with VP Engineering, Head of AI/ML, and CTO-level partners at Fortune 500 enterprises and cutting-edge AI-native startups, owning the technical win from the first discovery call all the way through production. Two tracks are open - Enterprise and AI-Native - same role, different customer base, and we'll talk through which fits your background and interests best.
What You'll Do
  • Run the full pre-sales field cycle yourself: discovery, POC scoping, model evals, and final model selection
  • Ship real production code inside customer environments - this is hands-on building, not advisory slides
  • Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM (SFT baseline, DPO/RFT a big plus)
  • Act as a true partner to your sales counterpart, shaping deal strategy rather than just supporting it
  • Build relationships across a customer's org, from engineers to executives, and know how to move a deal forward on both levels

What You Bring
  • 3+ years in a client-facing AI/ML role - Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure
  • Real hands-on experience with open-model LLM inference and/or fine-tuning
  • Hyperscaler experience in an AI context (AWS, Azure, or GCP)
  • Strong Python skills, comfort with GPU infrastructure and Kubernetes
  • A background at an AI-native company or a SaaS company genuinely building AI features (not bolting them on)
  • Full-time work history, and openness to travel to enterprise customers as needed

Key Success Drivers
You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth - this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders.
Why Join?
Compensation & Equity
  • Base salary $176K-$224K, OTE $220K-$280K
  • Performance-based variable compensation, paid quarterly
  • Meaningful equity in a fast-growing, well-funded startup - Series D at a $17.5B valuation

Location
  • Remote-friendly with hubs in New York and San Mateo - flexibility to work from anywhere in the US with regular travel to enterprise customers

Visa Sponsorship Details
  • Open to visa transfers (e.g. OPT, H1B transfers)
  • Open to visa sponsorships (e.g. new H1B, TN)

Benefits
  • Comprehensive benefits package

Interviewing Process
  • Recruiter/hiring manager screen (30 min): logistics, motivation, fit
  • Take-home (5 days): build a working text-to-SQL system
  • Culture + live coding (45 min): product discussion, extend your code live
  • Discovery + hiring manager (45 min): live discovery role-play
  • Executive conversation (30 min): short demo + values discussion

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

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About Lavendo

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021