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Overnight Voip Engineer Remote Jobs in Georgia (NOW HIRING)

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ... AI engineering standards and best practices. * Master's or bachelor's in computer science ...

Concentric, LLC

Sales Coordinator - Remote

Stone Mountain, GA · On-site +1

$17.25 - $23.75/hr

This position is Remote - requires up to 10% overnight travel. Job Summary Our Remote Sales ... Collaborate with our engineering department to ensure the technical specifications of each order ...

Concentric LLC

Sales Coordinator - Remote

Stone Mountain, GA · Remote

$17.25 - $23.75/hr

This position is Remote - requires up to 10% overnight travel. Job Summary Our Remote Sales ... Collaborate with our engineering department to ensure the technical specifications of each order ...

Concentric LLC

Sales Coordinator - Remote

Stone Mountain, GA · Remote

$17.25 - $23.75/hr

This position is Remote - requires up to 10% overnight travel. Job Summary Our Remote Sales ... Collaborate with our engineering department to ensure the technical specifications of each order ...

Concentric LLC

Sales Coordinator - Remote

Stone Mountain, GA · Remote

$17.25 - $23.75/hr

This position is Remote - requires up to 10% overnight travel. Job Summary Our Remote Sales ... Collaborate with our engineering department to ensure the technical specifications of each order ...

KEYENCE

Field Application Engineer '27

Atlanta, GA · On-site +1

$53K - $80K/yr

Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ... Willingness to travel (60-100%), including overnight * Valid driver's license and personal vehicle

Danaher

Field Service Engineer- Atlanta, GA

Atlanta, GA · On-site +1

$33 - $37/hr

This position is part of the Service Organization located in ATLANTA, GAand will be fully remote ... Ability to travel - list specifics 80% travel, overnight, within territory or locations * Must have ...

CRH

Product Engineer - Polymer Concrete

Acworth, GA · On-site +1

$85K - $95K/yr

Job Location This is a remote role with about 20% travel. Job Responsibilities * Establish design ... Overnight/Business Travel approximately 20% Compensation * Base salary range of $85,000-95,000 per ...

TRC Talent Solutions

Licensed Electrician

Eatonton, GA · Remote

Remote with Travel Throughout the Southeast Travel: 50-60% Overnight Travel Direct Hire: TRC has ... Support value engineering and constructability reviews. * Attend pre-bid meetings and site visits.

Danaher

Channel Sales Manager

Atlanta, GA · Remote

$146K/yr

... and engineering challenges. Here, you will work on meaningful projects alongside passionate ... This role is fully remote. This position reports to the Director of Applied, Sample Prep and ...

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Overnight Voip Engineer Remote information

What does an overnight VoIP engineer remote do?

An Overnight VoIP Engineer working remotely is responsible for monitoring, maintaining, and troubleshooting Voice over IP (VoIP) systems during overnight hours. Their primary duties include ensuring uninterrupted voice communications, resolving technical issues, and performing routine maintenance and upgrades on VoIP infrastructure. They may also respond to incidents, coordinate with other IT teams, and provide support to users experiencing voice communication problems. Working remotely, they use secure connections and monitoring tools to manage systems outside of traditional business hours.

What are some unique challenges faced by overnight VoIP engineers working remotely, and how can they be addressed?

Overnight VoIP Engineers working remotely often encounter challenges such as resolving urgent service outages during off-peak hours with limited immediate team support. They must also manage effective communication across different time zones and ensure thorough documentation for handoffs to daytime teams. To address these challenges, it's important to develop strong troubleshooting skills, maintain clear written communication, and utilize collaboration tools for efficient knowledge transfer. Proactively setting up escalation protocols and participating in regular team syncs can also help ensure smooth operations and continuous service reliability.

What are the key skills and qualifications needed to thrive as an overnight VoIP engineer remote, and why are they important?

To thrive as an Overnight VoIP Engineer (Remote), you need a solid understanding of networking fundamentals, VoIP protocols (such as SIP and RTP), troubleshooting skills, and typically a degree in computer science or a related field. Familiarity with VoIP platforms (like Cisco, Avaya, or Asterisk), network monitoring tools, and certifications such as CCNA or CCNP Collaboration are highly valuable. Strong problem-solving abilities, attention to detail, and effective remote communication skills are essential soft skills for this role. These competencies ensure reliable voice services, quick resolution of issues outside regular hours, and seamless collaboration with remote teams.

What is the difference between Overnight Voip Engineer Remote vs Voip Support Specialist?

AspectOvernight Voip Engineer RemoteVoip Support Specialist
CredentialsVoIP certifications, network knowledgeVoIP certifications, customer service skills
Work EnvironmentRemote, technical setup, network monitoringRemote or on-site, customer support focus
Industry UsageTelecommunications, IT companiesTelecommunications, tech support firms
Search IntentTechnical VoIP roles, remote VoIP jobsCustomer support, VoIP troubleshooting

Overnight Voip Engineer Remote roles focus on technical network setup, maintenance, and troubleshooting, often requiring advanced certifications. Voip Support Specialist positions emphasize customer service and troubleshooting, with a broader focus on user issues. Both roles are remote and industry-specific, but differ in technical depth and support focus.

What are the most commonly searched types of Voip Engineer Remote jobs in Georgia?

The most popular types of Voip Engineer Remote jobs in Georgia are:

What are popular job titles related to Overnight Voip Engineer Remote jobs in Georgia?

For Overnight Voip Engineer Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Overnight Voip Engineer Remote jobs in Georgia look for?

The top searched job categories for Overnight Voip Engineer Remote jobs in Georgia are:

What cities in Georgia are hiring for Overnight Voip Engineer Remote jobs?

Cities in Georgia with the most Overnight Voip Engineer Remote job openings:

Overnight Voip Engineer Remote jobs near you

Senior AI Engineer (Remote)

Atlanta, GA • On-site, Remote

Home Depot
Retail • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 6,473 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Home Depotexternal

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.
This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.
Required skills
  • Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
  • AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
  • AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
  • Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
  • Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), andAI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
  • AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
  • Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
  • Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.

Key Responsibilities:
  • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
  • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:
  • This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
  • This Position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
  • AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
  • Full-stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
  • Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
  • Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
  • Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
  • Master's or bachelor's in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $100,000.00 - $250,000.00
Home Depot logo

About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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Pay

Benefits

Hours and flexibility

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