Java Lead Engineer

Engineering Bangalore, India


Ayla Networks is redefining the way brands, enterprises and service providers can develop, monetize and support connected products for the Internet of Things (IoT) in a way that’s open, scalable and economical. Ayla provides the industry’s first Agile IoT Platform, an end-to-end software fabric running across devices, cloud, and apps to create secure connectivity, data analytics, and feature-rich customer experiences.

We are looking for an exceptional Java Lead Engineer to join the Ayla Engineering team.

Key Responsibilities

  • Highly technical individual, preferably with technology leadership experience, possessing expertise and experience working across multiple components or one entire application.
  • Work with global product team to define stories and acceptance criteria.
  • Research and proof-of-concept initiatives in new and emerging technology spaces.
  • Be part of the entire Software Development Life Cycle.
  • Contribute unit, functional and performance tests to certify your work is good.
  • Drive evaluation and learn new tools and technologies to keep technology stack modern as needed for the Product solution.
  • Mentor other engineers within the team as well as partner with engineers across the supply chain to share successful architectural patterns
  • Experience of working in an Agile team
Minimum Qualifications
  • 10+ years of software development experience with at least one full cycle implementation from requirement to production
  • Proficiency in Java
  • Experience in building highly scalable distributed systems
  • Excellent written communication skills and ability to document technical content
Desired Qualifications
  • Experience building and scaling RESTful APIs and event driven platforms.
  • Experience Spring Platform (E.g. Spring Boot | Spring MVC | Spring Rest and Spring technologies).
  • Experience building high through put applications using non-blocking technologies.
  • Experience with event driven architecture using technologies such as Kafka or similar.
  • Exposure to storage technologies that support high scale and large amounts of data (e.g. Cassandra, Elastic Search, etc).
  • Awareness of new and emerging technologies.
  • Bachelor's degree in Computer Science or relevant experience