We're seeking a hands-on full-stack engineer to own and extend our microservices ecosystem, driving end-to-end delivery of critical services.you'll build, enhance, and maintain python-based services, ruby, node.js, and kotlin to support data processing, analytics, automation, and statistical modeling.key responsibilitiesdesign & develop microservicesbuild and maintain python services for data ingestion/export (xml, excel, apis, etl) and analytical workflows.own core modules that process building metadata and generate actionable insights.support benchmarking services that compare customer data against industry baselines.model, store, and query data in mongodb for high-performance document workflows.maintain and improve automated image-processing pipelines that identify equipment and extract key details via ai/ocr tools.develop new ai/ml capabilities to ingest data from varying sources and to provide insights aligned with platform objectives.calculation & analysis enginesperform maintenance on legacy ruby calculation components as they transition to new workflow-driven implementations.troubleshoot and improve calculation modules implemented across different platforms and services, ensuring accuracy and performance.develop and refine statistical methods (e.g. regression models, time-series analysis) to quantify building performance and savings over time using libraries like numpy and pandas.devops & deploymentpackage services in docker and deploy via aws codedeploy to ubuntu ec2.author/maintain aws lambda functions and mongodb atlas triggers for event-driven tasks.partner with cross-functional teams (product, frontend, and customer success) to define robust apis and service contracts.engage directly with customers to gather requirements and troubleshoot issues during project implementations.produce clear documentation, unit tests, and integration tests to maintain code quality and reliability.required qualifications7+ years building and operating backend in pythonrestful apis and data-integration patternshands-on experience with mongodbfamiliarity with cloud platforms (e.g., aws or similar) and dockerexperience integrating machine-learning models and ai services (e.g., openai) into backend systemsexperience integrating machine-learning models and aicomfortable writing clean, testable code and contributing to existing codebasescomfortable with statistics and probability conceptsexperience with agile sdlcprior customer-facing project experience in a technical capacitybachelor's in cs, engineering, or equivalent practical experiencenice-to-have skillsruby or node.js microservices experiencekotlin or java for embedded calculations (e.g., excel logic)experience integrating ocr pipelines using tools like aws textract or similar services#j-*-ljbffr