Software Development Engineer III

The Role: We're looking for a highly skilled and experienced Software Development Engineer 3 to help us design, build, and scale our energy-saving products. This is a hands-on role where you'll use your expertise in Machine Learning (ML) and real-time data to create solutions that have a tangible impact on the world. In this position, you'll be a key player on a product-focused team, working on everything from data pipelines and ML model integration to developing scalable services. You should 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 and Java. Integrate components with event-driven microservices, leveraging Redpanda as the streaming backbone. Collaborate with cross-functional teams to define technical requirements and drive the implementation of new features. Write clean, efficient, and well-documented code, following best practices and leading by example. Participate in and lead code reviews, providing clear and constructive feedback to help the team grow. Troubleshoot and resolve complex technical issues to ensure the delivery of high-quality software. Stay current with industry trends and apply new technologies to improve our products and processes. Requirements: A bachelor’s degree in computer science, Software Engineering, or a related field. 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 complex technical 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 like Redpanda or Apache Kafka. Hands-on experience with Docker and Kubernetes for containerized deployments. Knowledge of agile development methodologies and CI/CD practices. Experience with additional programming languages or frameworks. Working knowledge of wireline and wireless network technologies.