As part of the Siemens PLM MindSphere organization, this position is a key part of advancing the state of the art relative to IoT, big data, machine learning, and performance analytics. We deliver state of the art applications based on IaaS in an agile-based environment. Reporting to the Head of R&D, MindSphere, you will be responsible for a 7 person team that is developing micro services to leverage the Hadoop stack and other big data technologies to deliver product performance intelligence applications. You will be a key influencer for best practices, technology selection, and organizational culture as we continue to adopt DevOps and CI/CD.
Duties and Responsibilities:
•Design, develop, modify, and implement software programming for products.
•Build platform components using java, web services and Hadoop technologies.
•Build and enhance components for big data search and high volume Data processing.
•Assist Technical Manager in planning and development of new and enhanced functionalities.
•Apply coding standards and best practices during the software development life cycle.
•Analyze and fix issues reported in QA and Production environments.
•Work closely with the Software Engineering Manager to create and enhance MindSphere platform components.
•Work with product owners, product validation, operations, and technical publications teams as part of agile scrum.
•Bachelors and/or Masters degree in Engineering, IT, computer science, engineering, business administration, (or lower qualification with relevant work experience)
•10 years of software development experience using Java and JEE.
•2+ years’ experience managing developers in an agile, devops environment
•4 years of software development experience using Hadoop hdfs, mapreduce and HBase or equivalent technologies.
•5 years of experience in creating and consuming web services.
•5 years of experience working with SQL, SOA and unix/linux.
•2 years of experience using eclipse, maven, git, Jenkins, nexus, tomcat webserver or similar technologies.
•2 years of experience supervising senior engineers.
•Experience with Solr and elastic search
•Experience with ETL including real time data ingestion