DESKRIPSI PEKERJAAN
Develop solutions that are highly-performant, fault-tolerant and scalable to millions/billions without impacting the foundation
Develop scalable data pipelines based on business initiatives on digitalization - from edge to cloud!
Work closely with data experts, domain specialists, designers and front-end team to develop innovative, practical and robust real-world solutions for smart infrastructure solutions and services in smart mobility, connected logistics & traffic management, smart buildings, smart utilities and smart grids
Collaborate with team members from prototyping through production, present developed solutions and recommendations to business partners, and influence future product roadmap and strategy based on insights
Drive nextgen backend architectures to provide interfaces for applications to seamlessly ingest and consume voluminous data
Solve production issues (both functional and non-functional) with limited availability of logs and diagnostic info
Represent the organization in reputed events & universities and be a brand ambassador for the Digitalization Hub of Siemens
Masters/Bachelor's degree in Computer Science or related discipline from a reputed institute
Grass-root experience of at least 4 years in solving complex problems and developing end-end application stack
Proven deep technical expertise in designing and programming large scale data driven solutions using any of the high level programming languages viz. Java/Python/C++/Scala
Proven interest of closely following latest developments in web-scale applications and being an early adopter of disruptive trends/technologies
Hands-on experience with one or more of the following is a must:
Define and implement REST/SOAP web services
Application development using AWS/Azure PaaS technologies and Docker
Experience with Spring Framework and Node.js
Choose and apply proven architectural patterns for concurrency and distribution
Strong debugging skills to fix challenging issues related to performance and scalability
REQUIREMENT
Hands-on experience using disruptive technologies like blockchain
Setup of CD/CI pipeline. Experience with Jenkins, Chef/Puppet/Ansible is highly desirable
Experience with Big Data technologies like Hadoop/Spark
Exposure to Data Mining and Machine Learning techniques such as Classification, Clustering and Forecasting
Acceleration techniques for machine learning applications
DETAIL LOWONGAN
- Umur -
- Min GPA -
- Min. Qualification D3
- Min Experience Staff