Lead Software Engineer

Responsibilities • Lead, design, and implement innovative analytical solutions using Cloud Native, Big Data, and NoSQL related technologies, • Design and implement Cloud/On-Premise/Hybrid solutions using best in the class data frameworks. • Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions. • Build collaborative partnerships with architects and key individuals within other functional groups. • Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution. • Actively participate in code review and test solutions to ensure it meets best practice specifications. • Build and foster a high-performance engineering culture, mentor team members, and provide the team with the tools and motivation. • Write project documentation. Requirements • Coding experience with one of the following programming languages: Python/Java/Scala/Kotlin • Experience with Linux OS: configure services and write basic shell scripts, understanding of network fundamentals • Good knowledge of SQL and relational algebra. • Advanced experience in software development with Data technologies (e.g. administration, configuration management, monitoring, debugging and performance tuning). • Engineering experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Security. • Strong experience building data ingestion pipelines (simulating Extract, Transform, Load workload), Data Warehouse or Database architecture. • Strong experience with data modeling; hands-on development experience with modern Big Data components. • Cloud: experience in designing, automation, provisioning, deploying and administering scalable, available and fault tolerant systems. • Good understanding of CI/CD principles and best practices. • Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication skills. • Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA. • Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities. • Ability to work in a fast-paced (startup like) agile development environment. • Strong experience in high load and IoT Data Platform architectures and infrastructures • Vast experience with Containers and Resource Management systems: Docker and Kubernetes. • Experience in direct customer communications. • Experience in technology/team leading of data oriented projects. • Solid skills in infrastructure troubleshooting. • Practical experience in performance tuning, optimization, and problem analysis. • Experienced in different business domains. • English and Japanese proficiency. • Advanced understanding of distributed computing principles.