Skip to main content

Senior Software Engineer

Posted today

insight globalSmyrna (GA)

SENIORITY

Lead

SALARY

$52-$54/hr

Apply (opens in a new tab)

About the role

Senior Backend Engineer
Required Skills & Experience:
  • Python development experience
  • Backend/API development experience, ideally with Java exposure as wellGCP Cloud experienceMLOps experience, including model training, validation, deployment, and serving
  • Experience with Airflow / Cloud Composer or similar pipeline orchestration
  • Model serving and optimization experience
  • Experience building scalable APIsComfortable understanding ML models and integrating them into production systems
  • Hands-on experience using AI development tools such as Claude or Gemini to improve engineering productivity
  • Nice to Have Skills & Experience:
  • Search, retrieval, relevancy, or ranking experience
  • Semantic search experience
  • Ranking/retrieval model experienceNVIDIA TritonStrong combination of Java + PythonPrior exposure to ML-powered search platforms
  • Ability to work across different backend technologies rather than being narrowly specialized
Job Description: Senior backend engineer supporting The Home Depot's Search Relevancy, Retrieval, and Ranking team. This person will help productionize and integrate machine learning models developed by Data Science into the broader search platform. The role sits at the intersection of backend software engineering and MLOps. It is not a Data Scientist position and is not focused on building/tuning models from a pure Data Science perspective. Day to Day: Integrate retrieval, ranking, semantic search, and other ML models into the search platform. Build and support Java and Python APIs that serve ML/search functionality. Work with Cloud Composer/Airflow pipelines supporting model training, validation, optimization, and deployment. Own aspects of model serving and performance optimization. Work closely with Data Science to understand models and successfully move them into production. Support multiple search models, including semantic retrieval and retrieval based on customer signals. Ramp into the broader search ecosystem over time rather than remaining narrowly focused on MLOps. Heavily leverage AI-assisted development tools as part of the engineering workflow. This is a fully remote opportunity with a requirement of working CST or EST Hours. Limited travel may be required for planning and collaboration sessions. Compensation includes a target hourly rate of $52-$54/hr, with conversion salary negotiable.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this