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Remote Mortgage Software Engineer Jobs in Villa Rica, GA

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Experity

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S., empowering urgent care clinics with industry-leading software that makes care faster, easier ... Remote: Team members who live within the U.S. but are not local within a commutable distance from ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients\' toughest business ...

micro1 AI

Bioinformatics Software Engineer

Atlanta, GA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Zortech Solutions

Sr Workday Software Developer

Atlanta, GA · Remote

$55.75 - $73.75/hr

Location: ATLANTA, GA/Remote (Candidate should be in Georgia) W2 Candidates only The ideal ... The SR Software Developer is responsible for delivering tailored solutions leveraging a deep ...

VetsEZ

Senior DevOps Engineer (Remote Opportunity)

Atlanta, GA · On-site +1

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with software engineers, architects, and infrastructure teams to build ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

Canonical

Site Reliability Engineer

Atlanta, GA · On-site +1

$54.75 - $72.75/hr

Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code. Location: Globally remote role The role We ...

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Showing results 41-60

All JobsMortgage Software Engineer JobsRemote Mortgage Software Engineer JobsRemote Mortgage Software Engineer Jobs in Villa Rica, GA

Remote Mortgage Software Engineer information

See Villa Rica, GA salary details

$55.4K

$128.8K

$179.4K

How much do remote mortgage software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote mortgage software engineer in Villa Rica, GA is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $151,000.00 per year, depending on experience, location, and employer.

What does a remote mortgage software engineer do?

A Remote Mortgage Software Engineer designs, develops, and maintains software applications tailored for the mortgage industry, working from a remote location. They collaborate with product managers, analysts, and other engineers to create digital solutions that help lenders, brokers, and customers streamline mortgage processes such as loan origination, underwriting, and servicing. Their work often involves integrating with financial systems, ensuring data security, and optimizing user experiences. By working remotely, they use online collaboration tools to communicate and manage projects efficiently. This role requires strong technical skills, industry knowledge, and the ability to adapt to evolving mortgage regulations and technologies.

How does a remote mortgage software engineer typically collaborate with cross-functional teams to deliver projects?

As a Remote Mortgage Software Engineer, you will frequently collaborate with product managers, UX/UI designers, and QA analysts via virtual meetings and project management tools. Communication is key, as you'll need to clarify requirements, review user stories, and participate in sprint planning sessions. Using tools like Slack, Jira, and Git, you'll coordinate code reviews and share updates to ensure alignment across teams. This remote structure requires proactive communication and strong organizational skills to maintain project momentum and deliver high-quality mortgage software solutions.

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

To thrive as a Remote Mortgage Software Engineer, you need strong programming skills (e.g., Java, .NET, or Python), knowledge of mortgage industry standards, and a relevant degree in computer science or a related field. Familiarity with mortgage loan origination systems (LOS), cloud platforms, and experience with APIs or integrations is often required, along with certifications like AWS Certified Developer or Microsoft Certified: Azure Developer Associate. Excellent problem-solving abilities, remote collaboration, and clear communication are standout soft skills for this position. These skills ensure the effective development, maintenance, and integration of mortgage software solutions, supporting both regulatory compliance and business efficiency in a distributed work environment.

What is the difference between Remote Mortgage Software Engineer vs Remote Loan Processor?

AspectRemote Mortgage Software EngineerRemote Loan Processor
Required CredentialsTypically requires a degree in computer science or related field, programming certificationsHigh school diploma or equivalent, training in loan processing
Work EnvironmentRemote, collaborative with development teams, using software toolsRemote, customer service-focused, using loan processing software
Employer & Industry UsageFinancial tech companies, mortgage lenders, banksMortgage lenders, banks, credit unions
Common Search & Comparison IntentUnderstanding technical roles in mortgage industry, software developmentUnderstanding loan processing roles, administrative tasks in mortgage industry

The main difference is that a Remote Mortgage Software Engineer focuses on developing and maintaining mortgage-related software, requiring technical skills and programming knowledge. In contrast, a Remote Loan Processor handles the administrative aspects of mortgage applications, focusing on data entry and customer communication. Both roles are remote and industry-specific but differ significantly in skills and responsibilities.

What are popular job titles related to Remote Mortgage Software Engineer jobs in Villa Rica, GA?

For Remote Mortgage Software Engineer jobs in Villa Rica, GA, the most frequently searched job titles are:

What job categories do people searching Remote Mortgage Software Engineer jobs in Villa Rica, GA look for?

The top searched job categories for Remote Mortgage Software Engineer jobs in Villa Rica, GA are:

What cities near Villa Rica, GA are hiring for Remote Mortgage Software Engineer jobs?

Cities near Villa Rica, GA with the most Remote Mortgage Software Engineer job openings:

Remote Mortgage Software Engineer jobs near you

Senior AI Engineer (Remote)

Home Depot

Atlanta, GA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,434 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 - $250,000.00

What Home Depot employees say

Pay

Benefits

Hours and flexibility

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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

Social media

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