founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.
Were looking for a strong backend engineer to join us in building disruptive technology in the IoT space. As part of our team, youll design and implement scalable systems, solve complex problems, and help shape the future of IoT through innovative software solutions
Responsibilities
Design, implement, and optimize scalable data processing pipelines using Spark, Flink, and Databricks.
Develop high-performance backend services using Java/Scala and Python.
Collaborate with data scientists, product managers, and hardware engineers to deliver end-to-end solutions.
Mentor junior engineers and contribute to engineering excellence through code reviews, architectural discussions, and process improvements.
Ensure data integrity, system reliability, and performance across production workloads.
Investigate and resolve complex technical issues, proposing effective and scalable solutions.
Requirements: 5+ years of experience as a software engineer, with a focus on backend and data engineering.
Strong proficiency in Java or Scala and Python.
Deep experience with Apache Spark, Apache Flink, or Databricks.
Solid understanding of distributed systems and big data architecture.
Experience building and deploying microservices and REST APIs.
Familiarity with CI/CD, monitoring, and observability practices.
Preferred:
Background in real-time streaming and event-driven architecture.
Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with containerization (Docker, Kubernetes).
Exposure to IoT, telemetry, or sensor data is a plus.
This position is open to all candidates.