Lead System Engineer (40048)

I am seeking a Lead System Engineer. In this role, you will translate deep insights into customer usage into clear technical requirements and guide cross-functional teams through the development lifecycle. From refactoring monolithic applications to designing microservice architectures, you will ensure performance, compliance, and security under a zero-trust framework. You will collaborate with global development teams, leveraging technologies such as Java Spring Boot, Python, React, SQL, and Kafka to build future-ready platforms. Strong experience in systems design, secure data platforms, and cloud-native architectures is essential. Fluency in English and a background in Computer Science, Engineering, or Applied Mathematics is also required.

🚀 Project
- understanding the customer usage and importance of various services to drive functional and non-functional requirements to the development team
- maintaining the team’s perspective throughout development and entry into service
- guiding Refactoring of legacy applications and New Application Development
- assisting the team in re-architecting legacy monolithic applications into scalable microservice design
- architecting and delivering secure data management solutions
- ensuring compliance with stringent data access and security requirements under a zero-trust architecture
- ensuring adherence to zero-trust security principles, driving robust authentication and authorization
- leading cross-functional teams to align on project goals
- following Agile methodologies, participating in sprints and iterative development cycles
- ensuring clear flow of information to the program as well as to development teams

🎯 Skills
- university education with major in Computer Science, Engineering, Applied Mathematics or related field
- fluency in English
- experience with Systems Design & Architecture
- experience with some of the following technologies: Java Spring Boot, NestJS, C#.NET, PHP, Python, SQL, ReactJS & TypeScript
- experience with database management systems, data platforms (e.g. Streaming Data Platform, Kafka, Logstash, Teradata, Hadoop, etc.), and data formats (e.g. SQL,   NoSQL, AWS S3, JSON, Redis, neo4j, etc.) for efficient ML feature extraction and data transformations will be valuable
- ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems
- experience leading remote and global teams