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Remote Azure Network Engineer Jobs in Springfield, MA

IAM Operations Engineer

Hartford, CT · Remote

$126K - $208K/yr

Working experience of server administration and usage of remote admin tools * Good knowledge of ... Working experience of Active Directory/AD LDS, Azure * Experience with ServiceNow * Experience with ...

Field Service Engineer 2

Springfield, MA · Remote

$110K - $120K/yr

... networking/wireless networking * Provide technical support to customers on operational or ... Provide phone support/remote assistance to customers and to Field Service Engineers as required to ...

Azure DevOps, Jira * Exposure to Python, R, SQL, or other programming languages This position may ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

This is a primarily remote role supporting enterprise Epic implementation, with minimal travel and ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...

Hospital Billing Operator

Hartford, CT · Remote

$18.50 - $23.75/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...

Collaborate with cross‑functional consulting and engineering teams to integrate AI solutions with ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

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Remote Azure Network Engineer information

See Springfield, MA salary details

$30.9K

$108.7K

$157.4K

How much do remote azure network engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote azure network engineer in Springfield, MA is $108,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $133,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Azure Network Engineer, and why are they important?

To thrive as a Remote Azure Network Engineer, you need expertise in cloud networking, network security, and infrastructure management, often supported by a degree in IT or related field and certifications like Microsoft Certified: Azure Network Engineer Associate. Familiarity with Azure networking services, automation tools such as PowerShell, and network monitoring platforms is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills and qualifications ensure secure, efficient, and reliable network operations within Azure environments, which are critical for supporting modern business needs remotely.

What are some common challenges faced by Remote Azure Network Engineers, and how can they be addressed?

Remote Azure Network Engineers often encounter challenges such as troubleshooting complex cloud network issues without on-site access, coordinating across distributed teams, and staying updated with rapidly evolving Azure services. Effective communication tools and thorough documentation are essential for resolving issues collaboratively. Additionally, leveraging Azure's monitoring and diagnostic tools, along with continuous learning and certification, can help engineers stay proficient and resolve problems efficiently.

What is the difference between Remote Azure Network Engineer vs Remote Cloud Network Engineer?

AspectRemote Azure Network EngineerRemote Cloud Network Engineer
CertificationsAzure certifications (e.g., AZ-700, AZ-700)Cloud certifications (e.g., CCNA Cloud, AWS Certified Advanced Networking)
Work EnvironmentPrimarily Azure cloud platform, Microsoft ecosystemMultiple cloud platforms, including AWS, Azure, Google Cloud
Industry UsageOrganizations using Microsoft Azure for cloud infrastructureOrganizations with multi-cloud or cloud-agnostic strategies
Search & Comparison IntentFocus on Azure-specific networking skillsBroader cloud networking skills across platforms

The Remote Azure Network Engineer specializes in Azure cloud networking, while the Remote Cloud Network Engineer has expertise across multiple cloud providers. The former is ideal for companies heavily invested in Microsoft Azure, whereas the latter suits organizations with diverse cloud environments seeking versatile networking professionals.

What is a Remote Azure Network Engineer?

A Remote Azure Network Engineer is an IT professional who specializes in designing, implementing, and managing network solutions on Microsoft Azure, while working from a remote location. Their responsibilities include configuring virtual networks, managing security, troubleshooting connectivity issues, and optimizing cloud network performance. They often collaborate with other IT teams to ensure reliable and secure cloud infrastructure, and must stay updated on Azure’s latest features and best practices.
What are popular job titles related to Remote Azure Network Engineer jobs in Springfield, MA? For Remote Azure Network Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Azure Network Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Azure Network Engineer jobs in Springfield, MA are:
AI Platform Principal Engineer (Google Cloud Platform)

AI Platform Principal Engineer (Google Cloud Platform)

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 21 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

54th of 281 rated insurance


Job description

Principal Software Engineer - IE06GE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise.
We are looking for talent who embraces our core values:
Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design.
Trust and Transparency: We collaborate closely with partners, mindful of their capacity to absorb change.
Reliability: Our products come with full monitoring solutions to ensure they deliver as expected.
Influence through Humility: We listen carefully to our customers and become partners in problem-solving.
Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Responsibilities:
Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
Develop and promote best practices in AI, ML, and data engineering across teams.
Architect and design end-to-end solutions at a component level.
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
Provide technical mentorship and career growth opportunities for team members.
Review work of systems-level engineers to calibrate deliverables against project and business expectations.
Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years building and shipping software and/or platform solutions for enterprises.
  • Programming experience with Python is preferred.
  • 5+ years of experience with Terraform.
  • Experience building libraries, frameworks or platforms used across multiple teams is a plus.
  • Proven experience with Google Cloud Platform (GCP).
  • Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.
  • Proven experience in working with other cloud providers such as AWS cloud is a plus.
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
  • Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.
  • Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
  • Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.
  • Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
  • Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
  • Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
  • Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
  • Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
  • Foundational understanding of Natural Language Processing and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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