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Senior (9-12yr), specialized backend IoT and streaming requirements reduce applicant density.
Requires IoT, streaming, and cloud distributed systems expertise, making candidates somewhat industry-specialized.
Multiple explicit years plus mandatory cloud, Kafka, containerization and GenAI experience create stringent filters.
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Design and build massively scalable IoT platform distributed systems handling tens of millions of connected devices and millions of transactions per second at sub-second latencies.
Lead architecture and implementation of Java/Spring Boot microservices with cloud-native deployment on AWS, including building applications on device telemetry and metadata.
Drive technical leadership including mentoring engineers, ensuring best practices in CI/CD, containerization (Docker), Kubernetes orchestration, and collaborating with cross-functional teams to deliver robust, high-performance solutions.
8+ years of software design and development including distributed systems and microservices architecture at scale.
5+ years of experience with cloud technologies (AWS preferred) and data streaming technologies such as Kafka, Spark, Flink, or Storm.
Strong hands-on experience with Grails, MySQL, MongoDB, RabbitMQ, Kafka, Elastic Search, front-end frameworks (HTML5, AJAX, React.JS), and cross-platform development (Java/Spring Boot, JavaScript/Node.js).
Bachelor’s or Master’s degree in Computer Science or related field.
Experienced leader capable of owning complex architecture decisions and driving cloud-native Java-based microservices at scale within IoT domains.
Strong expertise in building data streaming solutions with Kafka and cloud deployment pipelines, with practical knowledge of containerization and orchestration (Docker, Kubernetes).
Practical experience in GenAI technologies including LLM integration, prompt engineering, orchestration frameworks, and inference optimization within the last 1-3 years, indicating advanced technical breadth.