HI, FUTURE HOMIE!

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.
We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?
Your Impact Starts Here

This platform engineer will be part of the team responsible for designing and implementing data and ML platform components to enable data engineering, data science, and product teams to build data- and ML-driven features, ensuring scalability, reliability, and seamless integration across workflows.

• Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources.
• Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems.
• Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments.
• Provide expertise on industry best practices, tools, and technologies in ML engineering.
• Drive the continuous improvement of data and ML workflows through automation and innovative solutions.
• Take full ownership of projects, ensuring successful delivery from planning to execution.
• Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions.

The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:

• 5+ years of software development experience, specializing in data and ML
• Expertise in SQL, Python, and Databricks
• Experience with Airflow, Kafka, and Redshift
• Proficiency in data modeling and database design.
• Proficient in building and deploying machine learning models (including language models)
• Proficient in building model serving pipelines for batch, streaming, and real-time inference
• Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
• Strong problem-solving skills with a strategic mindset and attention to detail

• Effective communicator and collaborator across technical and non-technical stakeholders

  The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.

• Be Customer Obsessed – Solve problems with empathy and creativity.

• Move Fast, Learn Fast – Experiment, take action, and grow every day.
• Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.
• Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.
• Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.

This platform engineer will be part of the team responsible for designing and implementing data and ML platform components to enable data engineering, data science, and product teams to build data- and ML-driven features, ensuring scalability, reliability, and seamless integration across workflows.

• Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources.
• Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems.
• Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments.
• Provide expertise on industry best practices, tools, and technologies in ML engineering.
• Drive the continuous improvement of data and ML workflows through automation and innovative solutions.
• Take full ownership of projects, ensuring successful delivery from planning to execution.
• Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions

The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:

• 5+ years of software development experience, specializing in data and ML
• Expertise in SQL, Python, and Databricks
• Experience with Airflow, Kafka, and Redshift
• Proficiency in data modeling and database design.
• Proficient in building and deploying machine learning models (including language models)
• Proficient in building model serving pipelines for batch, streaming, and real-time inference
• Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
• Strong problem-solving skills with a strategic mindset and attention to detail
• Effective communicator and collaborator across technical and non-technical stakeholder