Technology Lead
3 weeks ago
Technology Lead – Enterprise Mobility Solutions
Role Overview: As the Technology Lead, you will oversee the technical design, architecture, and implementation of our platform. This is a hands-on leadership role where you’ll manage a team of engineers, define the technology stack, and ensure smooth integrations with third-party services, all while building for scalability, reliability, and high performance. Additionally, you’ll drive AI/ML algorithm implementation for fleet and energy optimization and predictive analytics.
Key Responsibilities:
● Architecture & System Design: - Architect a scalable, microservices-based PaaS platform on industry-standard cloud infrastructure preferably AWS with Docker and Kubernetes. - Design distributed systems to support large-scale EV fleet operations, integrating with IoT devices, telematics, and charging stations. - Develop AI-driven algorithms for predictive fleet optimization, route planning, and charging management.
● Backend Development: - Lead backend development using Java, Python, Node.js, focusing on performance and scalability. - Implement RESTful and GraphQL APIs for integration with service providers, fleet operators, and carbon tracking platforms. - Utilize event-driven architecture with message brokers like Kafka or RabbitMQ for real-time data flow.
● Database Knowledge and Management: -Proficiency in DBMS: Strong expertise with MongoDB for managing large-scale, semi-structured data, along with familiarity in SQL-based databases like PostgreSQL and MySQL. -Data Modeling and Schema Design: Skilled in designing optimized data models and schema structures in MongoDB for efficient querying, indexing, and storage. -Performance Optimization: Expertise in MongoDB indexing, sharding, and query optimization techniques to support high data volumes and real-time processing. -Backup, Replication, and High Availability: Experienced in implementing backup solutions, replication, and ensuring high availability in MongoDB for data integrity and resilience.
● Data & AI Integration: - Set up data pipelines to handle large-scale, real-time data from EV sensors and telematics systems. - Integrate AI/ML models for predictive maintenance, energy optimization, and carbon footprint calculations using frameworks like TensorFlow, PyTorch. - Collaborate with data science teams to deploy models and provide advanced analytics insights.
● Mobile Application Development: - Oversee mobile app development using Flutter for both iOS and Android. - Collaborate with design and product teams to create user-centric applications for fleet and charging management.
● Cloud Infrastructure & DevOps: - Set up CI/CD pipelines using tools like Jenkins, GitLab, or CircleCI. - Design and secure cloud infrastructure for high availability using AWS Lambda, ECS, or Kubernetes clusters. - Implement identity management, encryption, and conduct regular security audits.
Key Requirements: - 5-8 years in software development and architecture, ideally in the EV or mobility domain. - Expertise in backend development (Java, Python, Node.js) and microservices architecture. - Strong skills in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). - Hands-on experience with Flutter and MongoDB. - Knowledge of AI/ML algorithms and their application in fleet and energy management. - Experience in building or scaling digital marketplaces. - Familiarity with carbon credit systems and sustainability-focused solutions. Preferred Skills: - Experience with EV telematics, charging infrastructure, or MaaS platforms. - Familiarity with carbon accounting standards and emissions tracking. - Knowledge of serverless architectures and model deployment.
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