Backend Engineer

hace 4 semanas


Ciudad de México Algotive A tiempo completo

Early on, we recognized that machines have unparalleled capabilities in executing tasks that humans simply cannot. This fueled our journey to change the technology landscape and usher in a new era of productivity through Autonomous Artificial Intelligence. Because of this, Algotive was born.

This visionary understanding hasn't just given rise to Algotive; it serves as the company's north star, guiding each innovation, strategy, and solution we introduce to the world.

Our mission is clear and powerful: We believe that AI's full potential is reached when machines become colleagues, not tools . Every day we strive to make this vision a global reality.

Role Overview

Algotive is a dynamic and innovative organization, specializing in cutting-edge video analytics solutions. We are seeking talented and motivated Backend Engineers to join our passionate team. You will play a crucial role in designing, developing, and optimizing the backend infrastructure that powers our cloud-based video analytics solutions. Working closely with cross-functional teams, you will contribute to the architecture, scalability, and performance of our cloud applications, ensuring seamless integration with frontend components.

Key Responsibilities
  • Backend Development: Design, implement, and maintain backend services and APIs for video analytics applications on the cloud. Ensure the scalability, reliability, and performance of backend systems to handle large-scale video data processing.
  • Database Management: Work with databases, both SQL and NoSQL, to design efficient schemas and optimize data storage and retrieval for video analytics applications. Implement data management strategies to handle diverse analytics data.
  • Cloud Integration: Utilize cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and manage backend services in a scalable and cost-effective manner. Implement server-less computing where applicable and optimize resource utilization.
  • Integration with Video Analytics Algorithms: Collaborate with data scientists and computer vision engineers to integrate video analytics algorithms into the backend infrastructure. Optimize algorithms for efficient processing and analysis of video data.
  • Security and Compliance: Implement security best practices to safeguard sensitive video data and ensure compliance with data protection regulations. Regularly conduct security audits and implement measures to mitigate potential vulnerabilities.
  • Collaboration with Frontend Engineers: Collaborate closely with frontend engineers to define API specifications and facilitate seamless communication between the frontend and backend. Optimize data transfer protocols for efficient and low-latency interactions.
  • Scalability and Performance Optimization: Implement strategies for horizontal and vertical scalability of backend services. Continuously monitor and optimize the performance of backend systems for real-time video analytics.
Qualifications
  • Bachelor’s in Computer Science, Computer Vision, Engineering, or a related field, not required, but preferred.
  • A minimum of 4 years proven experience in backend development with a focus on cloud-based applications.
  • Experience with cloud platforms (AWS, GCP, Azure) and server-less computing.
  • Proficiency in programming languages such as Python, Java or Node.js.
  • Knowledge of designing highly-optimized and highly-scalable systems.
  • Expertise in developing well-documented, and well-designed APIs.
  • Knowledge of web development frameworks (Django, Flask).
  • Strong understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB).
  • Robust knowledge of containerization (Docker, Kubernetes) and deployment to production (IaC).
  • Strong testing and debugging skills with complex systems.
  • Must be bi-lingual in Spanish & English.
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