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Remote Lead Software Engineer Jobs in Georgia (NOW HIRING)

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model ...

Sr. Software Engineer - Accounting

GA · On-site +1

$117K - $155K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA. About this job We're looking for a Senior Software Engineer to join a 6-person cross-functional ...

Sr. Software Engineer - Accounting

GA · On-site +1

$117K - $155K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA. About this job We're looking for a Senior Software Engineer to join a 6-person cross-functional ...

Java Software Engineer - Remote

Atlanta, GA · Remote

$49.75 - $68.25/hr

As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our development scope extends from device specific driver, service, and communication protocols to cloud ...

Java Software Engineer - Remote

Atlanta, GA · On-site +1

$49.75 - $68.25/hr

As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our development scope extends from device specific driver, service, and communication protocols to cloud ...

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Senior Software Engineer, WaveLogic Modem Software Development plays a critical role in delivering ... Collaborate with local and remote engineering teams to plan, estimate, and track development ...

Deer Valley Phoenix AZ / Redmond WA / Remote with ability to travel to one of the sites on need basis We are seeking a Software Engineer with deep experience in safety-critical avionics software ...

$185K - $305K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Lead the development of services in Rust that integrate with Kubernetes and modern cloud ...

$223K - $259K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Lead the development of services in Rust that integrate with Kubernetes and modern cloud ...

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Gordon Technology Services Limson Team is looking for a Senior Software Engineer to help ... Hybrid Schedule, 4 days in office in Wyoming, MI or Atlanta, GA, with 1 day remote What you'll ...

Software Engineer II

Atlanta, GA · On-site +1

$93K - $128K/yr

... remote employees worldwide-we are committed to building a diverse and inclusive workplace. We ... How You Will Make an Impact As a Software Engineer II on the Developer Platform Team, you will help ...

$156K - $227K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Lead the design, development, and field deployment of custom ATAK (Android Team Awareness Kit ...

Showing results 21-40

Remote Lead Software Engineer information

See Georgia salary details

$70.1K

$123.2K

$167.2K

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

As of Aug 13, 2026, the average yearly pay for remote lead software engineer in Georgia is $123,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $142,300.00 per year, depending on experience, location, and employer.

How much does a remote lead software engineer earn?

A remote lead software engineer typically earns between $100,000 and $160,000 annually, depending on experience, location, and company size. Seniority, technical skills, and certifications can also influence salary levels in this role.

What are the key skills and qualifications needed to thrive as a remote lead software engineer?

To thrive as a Remote Lead Software Engineer, you need advanced proficiency in software architecture, programming languages, and team leadership, typically supported by a bachelor's or master's degree in computer science or a related field. Hands-on experience with tools such as Git, CI/CD pipelines, cloud platforms (like AWS or Azure), and agile project management software, as well as certifications like AWS Certified Solutions Architect, are often required. Exceptional communication, mentorship, and problem-solving abilities are important soft skills for managing a distributed team. These skills are crucial to effectively lead technical projects, drive team success, and deliver high-quality software solutions in a remote environment.

What are the typical challenges faced by a remote lead software engineer, and how can they be addressed?

Remote Lead Software Engineers often navigate challenges such as coordinating distributed teams across different time zones, ensuring clear and consistent communication, and maintaining high productivity without in-person supervision. To address these, successful leads leverage robust collaboration tools, establish regular check-ins or stand-ups, and set clear expectations and documentation standards. Emphasizing transparency, proactively identifying and resolving blockers, and fostering a culture of trust and accountability are also key strategies. With the right practices, remote leads can build strong, cohesive teams and deliver complex projects efficiently.

What is a remote lead software engineer?

A Remote Lead Software Engineer is responsible for leading a team of developers while designing, developing, and maintaining software solutions from a remote location. They provide technical guidance, manage project timelines, and ensure code quality through best practices and code reviews. Additionally, they collaborate with cross-functional teams to define requirements, troubleshoot issues, and optimize performance. This role requires strong leadership, communication, and problem-solving skills to manage remote teams effectively.

What cities in Georgia are hiring for Remote Lead Software Engineer jobs?

Cities in Georgia with the most Remote Lead Software Engineer job openings:

Infographic showing various Remote Lead Software Engineer job openings in Georgia as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,187 per year, or $59.2 per hour.

Lead Machine Learning Engineer - REMOTE

Lennar

Atlanta, GA • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

18th of 80 rated construction


Job description

Lead ML Engineer - REMOTE
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML models from notebook to production. This is a key role on the Applied AI & Data Science team, sitting at the intersection of software engineering, ML platform, and applied data science.
The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model serving for both batch and real-time inference, build durable model registries and versioning practices, and stand up retraining pipelines that data scientists actually use. They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production.
You'll partner closely with data scientists, AI engineers, and platform teams-building and setting the foundation that lets ML models ship faster, retrain on schedule, and operate with the same engineering rigor as any other production service across 40+ divisions of one of the nation's largest homebuilders.
  • A career with purpose.
  • A career built on making dreams come true.
  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team
  • Design, build, and set the ML platform surface used by our data science team-covering model packaging, deployment, batch and real-time inference, and observability.
  • Establish and evangelize ML platform standards, patterns, and reusable components-raising the engineering bar for how ML models are built, deployed, and operated across the organization.
  • Mentor data scientists and engineers on production ML practices, code review their platform-adjacent work, and serve as the technical authority on MLOps decisions.
  • Own model serving infrastructure on AWS SageMaker (including SageMaker Unified Studio)-building patterns for batch inference jobs, real-time endpoints, and serverless inference depending on workload requirements.
  • Build and maintain the model registry, version control, and promotion workflows that move models cleanly from development to staging to production with full lineage and auditability.
  • Stand up and operate retraining pipelines using MLflow, Weights & Biases, and orchestration tools-automating retraining triggers, experiment tracking, model evaluation, and approval gates.
  • Build monitoring and alerting for production models including drift detection, performance degradation, data quality issues, and latency or cost anomalies.
  • Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and code review.
  • Partner closely with data scientists to make their workflow faster and more reliable-reducing time-to-production for new models and increasing confidence in models already in production.
  • Collaborate with Data / Platform Engineering and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform.

Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
  • 7+ years of software engineering experience, including meaningful production ownership of services or platforms in a cloud environment.
  • 5+ years of hands-on MLOps or ML platform experience-deploying, monitoring, and retraining production models at scale.
  • Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines.
  • Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling.
  • Strong Python skills with a track record of writing modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred).
  • Solid understanding of both batch and real-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity.
  • Proven ability to partner with data scientists-understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities.
  • Comfortable operating with autonomy in ambiguous environments-scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked.
  • Bonus: Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools, or supporting both classical ML and LLM-based models on the same platform.

What we offer:
  • The opportunity to deliver impact across one of the largest homebuilders in the United States.
  • A corporate culture focused on growth and development.
  • Freedom to try new impactful ideas.
  • Ability to deploy your work to teams across 40+ divisions and interact directly with those teams.
  • End-to-end project ownership.
  • Occasional travel for team activities and meetings.
  • Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or Dallas, TX.
  • Healthcare (medical, dental, vision) and 401k matching

Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

What Lennar employees say

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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