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Remote Customer Support Engineer Jobs in Springfield, MA

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Partner with engineering teams to support platform modernization and infrastructure reliability

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Partner with engineering teams to support platform modernization and infrastructure reliability

IAM Operations Engineer

Hartford, CT · Remote

$126K - $208K/yr

Taking care of our customers, our communities and each other. That's the Travelers Promise. By ... Participates in 24/7 critical applications support occasionally working after hours and weekends to ...

Field Service Engineer 2

Springfield, MA · Remote

$110K - $120K/yr

Provide phone support/remote assistance to customers and to Field Service Engineers as required to achieve resolution of service needs in a timely manner * Oversee and maintain spare parts for ...

This position is Remote : We are seeking an AI Applications Developer to support the ongoing ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

... customers. As a team of remarkably diverse engineers, we recognize that what we are really ... This remote position requires aspects ofSupply ChainManagement, Procurement, Manufacturing ...

... Remote available Power Platform Developer In support of Connecticut's Department of Developmental Services, "DDS" requires an experienced Power Platform developer. The position will manage efforts ...

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Showing results 1-20

Remote Customer Support Engineer information

See Springfield, MA salary details

$38.9K

$78.3K

$108.1K

How much do remote customer support engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote customer support engineer in Springfield, MA is $78,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $89,700.00 per year, depending on experience, location, and employer.

How does a Remote Customer Support Engineer typically collaborate with other technical teams while working off-site?

As a Remote Customer Support Engineer, collaboration with other technical teams, such as development and product engineering, is often facilitated through digital communication tools like Slack, email, and video conferencing. You’ll regularly participate in virtual meetings to discuss complex customer issues, share feedback, and escalate bugs or feature requests. Building strong relationships and maintaining clear, proactive communication is key to ensuring customer issues are resolved efficiently. Many companies also utilize ticketing systems and shared documentation platforms to streamline workflows and keep all team members aligned.

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

To thrive as a Remote Customer Support Engineer, you need a solid understanding of technical troubleshooting, product knowledge, and a relevant degree or experience in IT or engineering. Familiarity with ticketing systems like Zendesk, remote desktop tools, and CRM platforms is typically required, and certifications such as CompTIA A+ or similar can be beneficial. Outstanding communication, patience, and problem-solving abilities help build trust with clients and efficiently resolve issues. These skills ensure timely, effective support and high customer satisfaction in a remote work environment.

What is a Remote Customer Support Engineer?

A Remote Customer Support Engineer is a technical professional who assists customers in troubleshooting, diagnosing, and resolving issues with a company's products or services, all while working from a remote location. They typically provide support via email, chat, or phone, and may use remote desktop tools to access customers' systems. Their role combines technical expertise with strong communication and problem-solving skills to ensure customer satisfaction. Remote Customer Support Engineers often collaborate with other technical teams to escalate complex problems and help improve products based on customer feedback.

What is the difference between Remote Customer Support Engineer vs Remote Technical Support Specialist?

AspectRemote Customer Support EngineerRemote Technical Support Specialist
CredentialsTechnical certifications, customer service skillsTechnical certifications, troubleshooting skills
Work EnvironmentCustomer service platforms, remote communication toolsHelpdesk software, remote troubleshooting tools
Employer & IndustryTech companies, SaaS providersIT service providers, hardware/software vendors
Search & Comparison IntentUnderstanding roles, job requirementsJob differences, skills needed

The Remote Customer Support Engineer and Remote Technical Support Specialist roles share similar technical skills and work environments, often within tech or SaaS companies. However, the Support Engineer typically focuses more on customer relationship management and proactive support, while the Technical Support Specialist emphasizes troubleshooting and resolving technical issues. Both roles require technical certifications and excellent communication skills, but their primary focus and daily tasks differ slightly.

What are popular job titles related to Remote Customer Support Engineer jobs in Springfield, MA? For Remote Customer Support Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Customer Support Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Customer Support Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Customer Support Engineer jobs? Cities near Springfield, MA with the most Remote Customer Support Engineer job openings:
AI Platform Engineer (Google Cloud Platform)

AI Platform Engineer (Google Cloud Platform)

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 17 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

Sr Data Engineer - GE07BE
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.
  • 8+ years building and shipping software and/or platform solutions for enterprises.
  • Programming experience with Python is preferred.
  • 3+ 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:
$117,200 - $175,800
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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