Cradlepoint is seeking a highly experienced and dedicated Senior Technical Lead - Backend to join our R&D unit. In this pivotal role, you will be instrumental in architecting and developing scalable, high-performance cloud-native AI/ML big-data analytics software. You will lead a team of talented developers, mentor junior members, and foster a culture of technical excellence and continuous improvement. This position requires strong leadership, deep technical expertise in Python and cloud-native technologies, and a collaborative approach to deliver cutting-edge solutions for our telecom operator customers.

What You Will Do: Key Responsibilities

Backend Development: Architect and develop scalable, high-performance web applications using Python, ensuring efficient and reliable systems.
Team Leadership:Lead a team of highly motivated developers, conducting thorough code reviews, actively mentoring junior members, and fostering a culture of excellence and continuous learning.
Collaboration: Work closely with cross-functional teams, including other backend developers, UX/UI designers, and product managers, to deliver cohesive and integrated solutions.
Continuous Improvement: Stay abreast of emerging technologies and best practices in backend development, AI/ML, and cloud-native architectures, integrating them into the development process to enhance efficiency and product quality.
System Design & Architecture: Actively contribute to and take ownership of system design and architecture decisions.
Testing & Quality: Lead the effort to write unit tests first before implementing features, ensuring the functionality is well-defined and testable.

What You Will Bring: Required Qualifications

Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Experience: 8-12 years of professional experience in backend development, with a strong focus on Python.
Technical Skills:
Proficiency in Python & Django/Rest API/FLASK/FAST API.
Extensive experience with Microservices architecture.
Strong understanding of RESTful APIs and asynchronous programming in Python.
Experience with Data Scrubbing and ML Libraries such as Pandas and NumPy.
Expertise in Kubernetes and cloud computing platforms like AWS, Azure, or GCP.
Solid knowledge of DevOps practices, including CI/CD pipelines (e.g., Jenkins, Spinnaker) and automated testing.
Hands-on experience with containerization technologies (Docker, Kubernetes).
Experience with Databases, including both MySQL and NoSQL solutions.
Exposure to security best practices in system design and implementation.
Knowledge about end-to-end tests using Robot framework and wire-mock.
Understanding of Agile methodologies and DevOps practices.
Familiarity with various cloud platforms and containerization technologies.
Excellent problem-solving and analytical skills.
Ability to work effectively in a fast-paced, collaborative team environment.
Strong communication and interpersonal skills.

Senior Technical Lead - Be