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Overnight Software Engineer Jobs in Georgia (NOW HIRING)

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

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 ...

Home Depot

Online Sr Data Engineer (SEO)

Atlanta, GA · On-site

$108K - $130K/yr

... processes for software, systems and applications development to ensure compatibility and ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

Home Depot

Online Data Engineer Manager

Atlanta, GA · On-site

$108K - $130K/yr

Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ... Experience engineer and automate data flows pipelines (using tools like PySpark, AirFlow, or ...

Pyramid Consulting, Inc

Field Engineer

Atlanta, GA · On-site

... software and setup errors for field engineers, technicians, and customers • Builds positive ... overnight shift if necessary Company : Pyramid Consulting, a global leader in workforce and ...

FANUC America

Engineer

Marietta, GA · On-site

This position will manage, organize, and administer high level software & controls expertise while ... Overnight travel as required throughout the US potentially up to 50% of the time. What You Need

EAE USA Inc

Field Service Engineer

Tucker, GA · On-site

$85K - $100K/yr

Diagnose electrical, mechanical, and software issues * Perform preventive maintenance * Repair or ... Field-based role with occasional overnight travel * Flexible schedule to support client needs and ...

Cortavo

Field Engineer

Atlanta, GA · On-site

Occasional overnight travel, including multi-day deployments * When not onsite, the Field Engineer ... Familiarity with IT hardware, software, and managed services technology * Proficiency in Google ...

NV5

Transportation Project Engineer

Alpharetta, GA · On-site

Use MicroStation and Inroads/Openroads software. * Assist engineers and designers in the ... Weekend and overtime work and/or overnight work and travel may be required. * Additional physical ...

NV5

Transportation Project Engineer

Alpharetta, GA

Use MicroStation and Inroads/Openroads software. * Assist engineers and designers in the ... Weekend and overtime work and/or overnight work and travel may be required. * Additional physical ...

NV5

Transportation Project Engineer

Alpharetta, GA

$75K - $100K/yr

Use MicroStation and Inroads/Openroads software. * Assist engineers and designers in the ... Weekend and overtime work and/or overnight work and travel may be required. * Additional physical ...

Home Depot

Sr. NPD Engineer

Atlanta, GA · On-site

$99K - $136K/yr

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most all of ... Ability to use costing software such as Boothroyd Dewhurst DFM/DFMA * Demonstrated manufacturing ...

HD Supply

EWM Application Engineer

Atlanta, GA

Builds software enhancements through configuration and/or development to meet desired ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

HD Supply

EWM Application Engineer

Forest Park, GA · On-site

Builds software enhancements through configuration and/or development to meet desired ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

HD Supply

EWM Application Engineer

Forest Park, GA

Builds software enhancements through configuration and/or development to meet desired ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

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All JobsSoftware Engineer JobsOvernight Software Engineer JobsOvernight Software Engineer Jobs in Georgia

Overnight Software Engineer information

See Georgia salary details

$53.6K

$124.6K

$173.5K

How much do overnight software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for overnight software engineer in Georgia is $124,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $146,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an overnight software engineer?

To thrive as an Overnight Software Engineer, you need solid programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Familiarity with version control systems like Git, continuous integration tools, and cloud platforms is typically required, along with knowledge of relevant programming languages. Strong self-motivation, time management, and effective remote communication are crucial soft skills for working independently during off-hours. These competencies ensure smooth development, quick issue resolution, and reliable collaboration across different shifts and time zones.

What is an overnight software engineer?

Overnight Software Engineers are professionals who work late-night or overnight shifts to develop, maintain, and troubleshoot software systems. Their schedules often align with businesses that require 24/7 technical support, such as IT operations, global companies, or industries handling critical infrastructure. These engineers ensure that technology runs smoothly outside traditional business hours, resolving urgent issues and sometimes performing updates when user activity is low. The role may also involve collaborating with international teams in different time zones, and requires strong problem-solving skills and adaptability.

Is 25 too late to become an overnight software engineer?

There is no age limit to becoming an overnight software engineer, as the role primarily requires programming skills, problem-solving ability, and familiarity with relevant tools. Many professionals transition into software engineering at various ages, and gaining experience or certifications can help in entering the field regardless of age.

What are some typical challenges faced by overnight software engineers, and how can they be managed?

Overnight Software Engineers often encounter challenges such as limited real-time collaboration with daytime teams, managing alert fatigue from monitoring systems, and maintaining productivity during unconventional hours. To address these, it's helpful to establish clear handoff processes, use detailed documentation, and leverage communication tools for asynchronous updates. Additionally, practicing good sleep hygiene and setting boundaries for work-life balance are crucial for long-term success in this role.
What are the most commonly searched types of Software Engineer jobs in Georgia? The most popular types of Software Engineer jobs in Georgia are:
What are popular job titles related to Overnight Software Engineer jobs in Georgia? For Overnight Software Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Overnight Software Engineer jobs in Georgia look for? The top searched job categories for Overnight Software Engineer jobs in Georgia are:
What cities in Georgia are hiring for Overnight Software Engineer jobs? Cities in Georgia with the most Overnight Software Engineer job openings:
Overnight Software Engineer jobs near you
Infographic showing various Overnight Software Engineer job openings in Georgia as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,566 per year, or $59.9 per hour.

Senior AI Engineer (Remote)

Home Depot

Atlanta, GA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,417 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

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 - $180,000.00

What Home Depot employees say

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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 and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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