DriveNets
- 02/02/2025
- תל אביב - יפו
Description
Engineering Team Leader - Infrastructure Platform
Location: Raanana
We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform. You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions. This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.
Requirements
- BSc in Computer Science or related field, or equivalent practical experience
- 6+ years of software engineering experience, including 2+ years in a technical leadership role
- Strong expertise in Python microservices development
- Advanced Linux system administration and development skills
- Extensive experience with Kubernetes and container orchestration
- Proven experience with infrastructure automation and cloud platforms
- Strong understanding of Azure services and cloud architecture
- Experience with modern DevOps practices and CI/CD implementation
- Ability to mentor engineers and drive technical decisions
- Deep understanding of Linux internals and system optimization
- Experience with workflow engines and their implementation
- Background in infrastructure as code (IaC) and automation
- Experience with high-scale distributed systems
- Track record of successful cross-team collaboration
- Experience with Agile methodologies and team management
- Strong security background in Linux environments
- Experience with service mesh and microservices patterns
- Background in performance optimization and troubleshooting
- Leading the technical vision and architecture of our Python microservices platform
- Managing and mentoring a team of engineers focused on infrastructure development
- Ensuring robust and scalable Kubernetes-based solutions
- Driving technical decisions and ensuring best practices in development
- Building highly available and performant distributed systems
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