D&E - Distributed Computing Infrastructure Architect - Linkou

仕事内容

Introduction

Introduction to the job

You will be working in the virtual compute platform (VCP). This platform is developed inside ASML to host compute and analytics applications that aim to improve the yield in the semiconductor factories of our customers.

These applications take data from ASML equipment. They combine this data to real time production corrections. The corrections are sent back to the ASML production equipment. Failure of the platform has high impact. It would mean failure of the customers (tsmc, Samsung, Intel etc.) production facility.

The on-premise platform is currently developed based on DC/OS. We are in the process of migrating to Kubernetes. We develop the platform aspects in our team. Scheduling of resources, containerization, fail-over and data collection from scanner and measurement devices inside the fab. We have an up time expectation of 4 nine’s.

Installations and upgrades are automated with Ansible. Other technologies you may encounter are Spark for data processing, Kafka for notifications and high volume data ingestion. Hadoop and HBASE are used for data storage. Hyper converged CEPH storage is one of the candidates to replace the HDP stack.

Role And Responsibilities

• Align technical direction with other architects in all levels in VCP product roadmap, product design and development
• Enable the team to control quality of solution and deliverable while leading the team in developing VCP product features
• As competency leader to identify competence gap and lead the team to plan and complete competence development
• Lead and manage architectural activities or technical improvement for the own team
• Lead own team to support troubleshooting for in-house and field issues in Asia
  
  

Educational Level

• A relevant BSc or MSc in the area of software engineering, computer science, information systems, IT or MIS
  
  

Experience Required

• knowledge of distributed computing systems, on-premise infrastructure development and integration of open source and commercial solutions.
• resource management of DC/OS and Kubernetes.
• guide the troubleshooting actions for complex issues on system performance.
• Profound understanding of complexity in failover, replication, driving for 99.99% uptime.
• Linux expertise, Java, Networking, multi-threading and OS level scheduling.
• Hardware affinity; understand how server design contributes to resource usage.
• Proven experience in product development and software execution architecture.
  
  

Hard Skills

• Containerization, Kubernetes, Ansible, Docker, Spark, Python, Kafka,
• Hadoop and HBASE, CEPH, MongoDb, Hortonworks Data Platform (HDP)
• Networking, understand TCP/IP protocol, troubleshoot firewall config issues etc.
• Linux, OS Hardening, Containerization, Azure DevOps, RHEV, RHEL
  
  

Personal Skills

• You take ownership and you support your team, you are the backbone of your group.
• You are client and quality oriented – you do not settle for second best solutions, but you strive to find the best ways to acquire top results.
• You like to solve problems (permanently)
• You are open to Challenges
• You think outside the box
• You can look through the customer eyes, what worked before may need to change for a customer X
• You automate
• You have a positive attitude and are not stuck in dogmas, you combine a fresh view and apply experience equally
  
  

Other Information

Keywords: Kubernetes, DCOS, Ansible, MongoDB, Spark, Kafka, Docker, Linux, Bamboo, Azure DevOps, Artifactory, RHEV, RHEL, life-cycle management