The Role: We're looking for a highly skilled and experienced Software Development Engineer 3 tohelp us design, build, and scale our energy-saving products. This is a hands-on rolewhere you'll use your expertise in Machine Learning (ML) and real-time data to createsolutions that have a tangible impact on the world. In this position, you'll be a key player on a product-focused team, working on everythingfrom data pipelines and ML model integration to developing scalable services. Youshould be comfortable working independently, mentoring junior engineers, and thriving in a fast-paced environment where your contributions directly shape our products. Responsibilities: Design and build robust ML pipelines and supporting services using Python andJava. Integrate components with event-driven microservices, leveraging Redpanda asthe streaming backbone. Collaborate with cross-functional teams to define technical requirements anddrive the implementation of new features. Write clean, efficient, and well-documented code, following best practices andleading by example. Participate in and lead code reviews, providing clear and constructive feedbackto help the team grow. Troubleshoot and resolve complex technical issues to ensure the delivery ofhigh-quality software. Stay current with industry trends and apply new technologies to improve ourproducts and processes. Requirements: A bachelor’s degree in computer science, Software Engineering, or a relatedfield. 6-10 years of experience developing and maintaining production-grade software. Proficiency in Java (with Spring Boot), Python, or C. Experience with both relational and NoSQL databases. A strong understanding of RESTful APIs and web services. Excellent verbal and written communication skills to clearly articulate complextechnical concepts. Proven ability to solve problems and work independently in a fast-paced setting. Familiarity with version control systems like Git. Preferred Skills: Experience with event-driven architectures and streaming platforms likeRedpanda or Apache Kafka. Hands-on experience with Docker and Kubernetes for containerizeddeployments. Knowledge of agile development methodologies and CI/CD practices. Experience with additional programming languages or frameworks. Working knowledge of wireline and wireless network technologies. #J-18808-Ljbffr