Key Responsibilities:

• Platform Maintenance & Optimization: Maintain and optimize the Edge Platform to ensure high reliability, low latency, and performance at scale.
• System-Level Development: Write high-performance, scalable code in Rust, Python, C++  (Optional), and Java (Optional), to enhance platform capabilities.
• Edge Computing Expertise: Work on optimizing the platform for real-time data processing from various building systems with a focus on low-latency, high-throughput solutions.
• Scalability & Performance: Drive system optimization efforts to scale the platform efficiently and ensure robust performance under high data loads.
• Cross-Team Collaboration: Partner with DevOps, backend, and cloud engineering teams to ensure seamless integration and deployment of edge services.
• Security & Stability: Ensure the platform remains secure, stable, and up-to-date, implementing necessary patches and enhancements.
• Mentorship & Leadership: Provide technical mentorship to junior engineers and guide architectural decisions for complex systems.
• Troubleshooting & Debugging: Take ownership of resolving performance bottlenecks, platform issues, and complex bugs across the system.

Required Skills and Experience:

• 6+ Years of Experience in platform engineering or systems development, with a strong background in maintaining high-performance, scalable platforms.
• Proficiency in Multiple Languages: Deep expertise in Rust, C++ (Optional), and Java (Optional), with the ability to write optimized, low-latency code.
• Edge Computing: Strong understanding of edge computing principles, including real-time data processing, distributed systems, and system performance optimization.
• Scalability & Distributed Systems: Experience designing and maintaining distributed systems that can scale to handle large volumes of data with minimal latency.
• Cloud & Containerization: Familiarity with Docker, Kubernetes, and cloud-based environments (AWS, Azure, Google Cloud) to deploy and manage platform services.
• Debugging & Profiling: Expertise in system-level debugging, profiling, and performance tuning for high-throughput, low-latency applications.
• Security: Experience in implementing security measures and best practices for platform stability and data integrity.
• Version Control: Proficient in Git and familiar with modern development workflows.

Nice to Have:

• Real-Time Data Processing: Experience with frameworks or platforms like Apache Kafka, Apache Flink, or Google Dataflow for real-time stream processing.
• Machine Learning: Familiarity with integrating machine learning models into edge computing environments.
• CI/CD Pipelines: Experience with CI/CD practices and tools (Jenkins, GitLab CI, etc.) for continuous integration and deployment.
  • Monitoring & Logging: Knowledge of monitoring systems (e.g., Prometheus, Grafana) to ensure platform health and performance.