Position: Azure Solution Architect (Automotive/ Germany)
Company: Luxoft
Experience required: 5y
English level: upper

Project Description:
Luxoft is an industry-leading software engineering and solution house for automakers & automotive suppliers. There are millions of cars on the road today with solutions designed & implemented by us focusing on Autonomous Drive, Embedded Applications, Digital Cockpit, Connected Mobility & overall excellence in delivery.

The race is on to build fully autonomous vehicles. The first automaker to achieve the highest level of autonomous driving (AD) by building the better driver will not only lead the market, but also define transportation of the future. To do this, AD research and development (R&D) engineers and IT teams must collect and store a staggering amount of sensory data for analysis and interpretation to produce control systems that perceive information and accurately navigate the vehicle.

Solution Architects support Robotic Drive opportunities mainly for the following phases
• Leading team of cloud platform/DevOps engineers for building and integrating Robotic Drive AI& storage solutions, toolkits and accelerators on Azure marketplace
• Technically leading the solution implementation
• Pre-sales activities; acting as Subject Matter Expert in this phase
• Responding to customer request for proposals with a competitive design

Responsibilities:
• Design Robotic Drive based solutions with focus on cloud (focus Azure) to effectively bring innovation and state-of-the-art methods and approaches into the development and testing of autonomous driving algorithms.
o Architecting Big Data and Compute Platforms based on Azure cloud native services
o Development of cloud governance and cloud management strategies
o (Design, Virtualization, Automation, Monitoring, Auditing, Continuous Improvement)
o Provide consultation to project teams on implementations for Azure cloud in the Robotic Drive solution domain, amongst others (high data volume ingests, distributed processing of native automotive formats, geo-distributed data lake & volume partitioning)
o Assessing customer requirements and enhancing standard architectures with cloud elements to sharpen the competitive edge
• Customer facing activities: participate in customer workshops and present DXC offerings and individually tailored solutions as part of (pre-)sales activities.
• Understanding competitor approaches and being able to differentiate and build out unique selling points in DXC's proposals
• Lead solutioning for prototypes and proof-of-concept solutions in support of presales activities for clients as well as support the development of standardized analytic offerings across multiple industries
• Liaise with product management to identify new market trends and include these in the further development of standard solutions
• Present DXC on conferences and publish whitepapers and blogs to underpin DXC's thought leadership in the autonomous driving domain

Mandatory Skills:
• Significant experience in enterprise cloud solutions in Azure (or AWS)
• Knowledge of and experience with cloud based AI services
• Ideally relevant cloud provider certifications i.e. Azure certified Solutions Architect
• Bachelor or Master degree required in information technology, computer science or similar.
• 2-5+ years of experience in commercial cloud architect roles; Ideally within autonomous driving or automotive domain.
• Minimum 3+ years of experience with Big Data Hadoop distributions and innovative technologies in Hadoop ecosystem (e.g. HDFS, Spark, Hive, HBase)
• 2+ years hands-on experience in Docker, Kubernetes, containerization
• Basic system administration, platform build and operations (Linux, Windows, Ubuntu, RedHat Openshift, MapR)
• Experience with cloud native services best practices, principles and software products
• Working experience with high performance computing architectures and relevant software products
• Strong customer focus, assertiveness and precise method of operation
• Possesses an understanding of architectural dependencies of technologies in the customer's analytic environments
• Able to communicate and present internally and externally in a confident manner
• Highly motivated team player

Nice-to-Have Skills:
• Basic understanding and some hands-on experience of Hadoop and it's ecosystem products (Spark, Jupyter)
• At least conceptual, better hands-on software development experience.
• Experience with simulation technologies, ideally in the automotive domain
• German