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Senior Remote Azure Engineer Jobs in Massachusetts

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Redhat

Senior Software Engineer

Lowell, MA · On-site +1

$118K - $195K/yr

Experience with hybrid cloud systems or frameworks (e.g., OpenShift, AWS, Microsoft Azure) #LI-EK1 ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Horizontal Talent

Senior CMS Developer Optimizely

Lynn, MA · Remote

$118K - $155K/yr

Strong Git knowledge and familiarity with modern CI/CD workflows such as Azure DevOps or GitHub ... Experience working in remote-first environments and collaborating across multiple locations.

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Senior Remote Azure Engineer information

What is a senior remote Azure engineer?

Senior Remote Azure Engineers are experienced IT professionals who design, implement, and maintain solutions using Microsoft Azure cloud services, while working remotely. They are responsible for managing cloud infrastructure, optimizing performance, ensuring security, and supporting cloud-based applications. Their expertise typically includes deep knowledge of Azure services, automation, troubleshooting, and architectural best practices. In addition to technical skills, they often collaborate with teams, provide guidance, and may lead cloud migration or modernization projects.

How does a senior remote Azure engineer typically collaborate with cross-functional teams to deliver cloud solutions?

As a Senior Remote Azure Engineer, you will regularly partner with software developers, security specialists, and project managers to design, implement, and optimize cloud infrastructure on Microsoft Azure. Collaboration often involves participating in virtual meetings, reviewing architecture diagrams, and coordinating deployments to ensure solutions meet both technical and business requirements. Clear communication across time zones and effective documentation are key, as you'll need to align with various stakeholders and respond to evolving project needs. This collaborative environment supports both the delivery of robust cloud solutions and your professional growth through exposure to diverse perspectives and technologies.

What are the key skills and qualifications needed to thrive as a senior remote Azure engineer, and why are they important?

To excel as a Senior Remote Azure Engineer, you typically need deep expertise in cloud architecture, infrastructure management, and strong knowledge of Microsoft Azure services, often supported by a bachelor’s degree in computer science and relevant Azure certifications like AZ-104 or AZ-305. Familiarity with tools such as Azure DevOps, PowerShell, ARM templates, and CI/CD pipelines is essential for deploying and maintaining scalable cloud solutions. Exceptional problem-solving, communication, and collaboration skills enable you to address complex technical challenges and effectively support distributed teams. Mastery of these skills ensures secure, efficient, and reliable cloud environments that align with organizational goals.

What is the difference between Senior Remote Azure Engineer vs Cloud Solutions Architect?

AspectSenior Remote Azure EngineerCloud Solutions Architect
CertificationsAzure Administrator, Azure Solutions ArchitectAzure Solutions Architect, AWS Certified Solutions Architect
Work EnvironmentHands-on cloud infrastructure management, deployment, troubleshootingDesigning cloud architecture, strategic planning, client consultation
Industry UsageIT services, cloud deployment teams, tech companiesConsulting firms, enterprise IT departments, cloud service providers

While both roles require Azure certifications and involve cloud technology, the Senior Remote Azure Engineer focuses on implementing and managing cloud solutions, whereas the Cloud Solutions Architect designs overall cloud strategies and architectures for organizations.

What are popular job titles related to Senior Remote Azure Engineer jobs in Massachusetts?

For Senior Remote Azure Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Remote Azure Engineer jobs in Massachusetts look for?

The top searched job categories for Senior Remote Azure Engineer jobs in Massachusetts are:

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Cities in Massachusetts with the most Senior Remote Azure Engineer job openings:

Senior Remote Azure Engineer jobs near you

AI/ML Engineer - Remote

YO AI Labs

Boston, MA • Remote

$200 - $350/hr

Full-time

Posted 8 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.