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.