Software Engineer II - MLOps

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Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together-no matter where they're based. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. We also offer: TO BE CONSIDERED FOR THIS ROLE, PLEASE SUBMIT AN UPDATED RESUME TRANSLATED TO ENGLISH Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. 🤜🤛 WHAT'S IN IT FOR YOU? 💻🌎Remote environment: totally built to make you feel that we are all together in one space without leaving your home office! 😎🏝Self Managed PTO: Beach? Mountains? Camping? Discovering new experiences? You are free to take time out as you need! ⏰Flexible work hours: We believe that you can reach your professional and personal goals working with us and encourage you to have a work life balance! 💡 A culture built on innovation that values big ideas: We are always open to new ideas that will improve the life of our Pros! 💻 MacBook (or PC if you prefer!) + Setup Fee ($500 ): What is remote work without the right tools? Here at HCP, you can choose your computer and set up your home office! We know what you are thinking...WHAT IS THE ROLE AND WHAT WOULD YOU BE DOING? 👀 As a Software Engineer II - MLOps, you are a foundational builder who bridges the gap between complex machine learning development and robust core engineering infrastructure. You partner closely with data scientists, product engineers, and infrastructure teams to deploy, monitor, and scale machine learning solutions in production. You are deeply passionate about automation, system reliability, and scaling pipelines that turn raw code into highly available product features. You balance a technical engineering mindset with an operational focus to maximize the reliability of our production systems. Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. In your day to day, you will: Implement robust infrastructure for deploying, monitoring, and managing machine learning models in live production environments Build automated, end-to-end machine learning pipelines focusing on feature engineering, model deployment, and continuous evaluation Collaborate with data scientists and product engineering teams to operationalize complex models and elevate production readiness Develop sustainable continuous integration and continuous deployment pipelines to support reproducible model release workflows Establish comprehensive monitoring, logging, and alerting solutions to ensure peak model performance and system health Support the continuous optimization of system architecture to improve scalability, uptime, and infrastructure cost efficiency Evaluate emerging technologies and operational best practices to integrate meaningful upgrades into the team's engineering stack Document architectural standards, technical processes, and operational procedures to promote cross-team knowledge sharing We think this role is for you if have... 3+ years of professional experience in MLOps, Data Engineering, or core infrastructure software roles Demonstrated proficiency in backend programming languages with a strong emphasis on Python Hands-on experience deploying, monitoring, and supporting machine learning models within distributed environments Proven understanding of workflow orchestration systems (i.e. Apache Airflow) Solid understanding of distributed batch or streaming data tools (i.e. Kafka, Spark) Experience implementing automated continuous integration and continuous deployment software delivery workflows Demonstrated ability to leverage AI tools to improve workflows, streamline execution, or enhance outputs Bachelor's degree in Comp

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