Lead the engineering team in developing, implementing, and maintaining scalable and secure cloud-based solutions focused on telemetry data processing and visualization. This role is critical in driving innovations that optimize vehicle performance, enhance safety, and improve operational efficiency in a dynamic and collaborative environment supporting digital transformation.
Key Responsibilities:
Lead and mentor a team of engineers in designing, developing, and maintaining cloud solutions for telemetry data.
Manage backend development for data ingestion, storage, processing, and analysis, ensuring system availability and optimization.
Design data pipelines for real-time and batch processing using tools like Python, Pandas, and messaging protocols such as OPC UA and MQTT.
Administer relational and non-relational databases, including PostgreSQL, NoSQL systems, time-series databases, and large-scale data storage.
Supervise the development of user-friendly web interfaces using React and modern JavaScript frameworks.
Collaborate with cross-functional teams and stakeholders to align technical efforts with business goals.
Apply security best practices and conduct system audits to ensure data protection and regulatory compliance.
Use containerization and deployment tools, such as Docker and orchestration platforms, for system reliability and automation.
Maintain documentation for systems, processes, and architectures.
Academic Requirements:
Bachelor's degree in Computer Science, Systems Engineering, or a related field.
Professional certifications are a plus.
Experience:
At least 5 years of experience in software development or cloud engineering.
Proven ability to lead teams and manage complex projects.
Industry experience in vehicle telemetry, data platforms, or similar technologies is preferred.
Core Technical Skills:
Cloud architecture: experience with major cloud providers and microservices.
Programming and data processing: Python, data workflows, telemetry protocols.
Databases: relational and non-relational systems, time-series data storage.
Web front-end: development with JavaScript, React, and interface frameworks.
DevOps and version control: container tools, CI/CD processes, and source code management.
Skills and Competencies:
Team leadership and coaching.
Effective communication and collaboration.
Analytical thinking and problem-solving.
Flexibility and a proactive mindset.
High level of English proficiency (technical and conversational).
Other languages, such as Spanish or French, are a plus.
Benefits:
Competitive compensation and benefits above legal requirements.
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