Will lead development efforts in the Tablet Based Self-Checkout application (TaBaSCO) using Java, Kotlin, TypeScript, and React Native, integrating MongoDB and Realm DB to power transactions and provide real-time updates to self-checkout devices, while spearheading the integration of the QCO (Quick Checkout) feature using Python, computer vision, and machine learning algorithms. Collaborate with hardware integration teams to seamlessly incorporate QCO hardware components such as Field of View (FoV) cameras and weight sensors like OpenScale, leveraging advanced machine learning models including Classification and Segmentation to enhance Quick Checkout (QCO) devices' functionality. Contribute to the development of the Semi-Automated Unit Config Editor (SAUCE) to streamline configuration management, health monitoring, and status tracking for TaBaSCO devices. Leverage expertise in RESTful API, GraphQL, and gRPC development to design, implement, and optimize scalable and secure APIs, facilitating efficient data communication and high-performance RPC interactions. Utilize Redux Toolkit for efficient state management, integrating seamlessly with React components, and handling asynchronous operations using middleware like Redux Thunk. Ensure code quality and reliability through comprehensive testing frameworks including JUnit, Mockito, Jest, PyTest, and JUnit in Java, TypeScript, Python, and Kotlin, respectively, encompassing unit testing, integration testing, and end-to-end testing across different layers and components of software applications. Employ monitoring tools such as NewRelic, LogZ, and LogRocket for debugging and performance monitoring, while implementing OpenTelemetry to collect and analyze telemetry data for optimizing software performance and behavior. Leverage multiple AWS services including S3, AWS Lambda, Amazon SQS, SNS, CloudWatch, and CloudFront for robust data storage, message queuing, system monitoring, and content delivery with low latency to end-users worldwide. Harness Kafka's capabilities as a distributed event streaming platform to handle real-time data feeds, process, and storage at scale, facilitating use cases such as real-time analytics, log aggregation, stream processing, and messaging systems across multiple applications. Work to create heat maps using Depth Camera D435, integrating machine learning algorithms such as FFMPEG, RGBD, and YOLO to generate 3D image coordinates for visualization. Position requires up to 100% domestic travel. This position is for full-time, salaried (W-2), permanent employment. Requirements: Position requires a Bachelors Degree or foreign equivalent in Computer Science, Information Technology, Engineering or a related field and three (3) years of experience in the Software Industry. Please Reference Job Number #477864E when sending resumes. Please mail resumes to: HR, Beacon Hill Solutions Group, LLC, 20 Ashburton Place, 5^th Floor, Boston, MA 02108. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: https://bhsg.com/jobs/eeoc/ Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility.  Upon successfully being hired, details will be provided related to our benefit offerings.