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Service Excellence Lead
Ref No.: 18-01082
Location: San Jose, California
Position Type:Contract
Start Date / End Date: 05/01/2018 to 11/01/2018
  • Key architect / designer / developer for developing solutions around Early Detection of Production Experience Degradation, Accurate Fault Detection, Decision Systems, Workflow Orchestration and Remediation or self-healing systems that are in-line with Service Delivery Platform and micro services built on it.
  • Operationalize the Support Solutions across Support Organizations
  • Contribute to Serviceability specifications and application roadmaps
  • Lead development of subsystems. Design & Develop large portions of software independently and rapidly. Good understanding and proficiency in developing Artificial Intelligence and Machine Learning (AI / Client) solutions
  • Should be familiar with contemporary Monitoring Tools, ITSM Tools, Remediation Tools, Robotic Process Automation (RPA)
  • Strong ability and desire to learn new tools as required is an absolute must.
  • Lead Change the Biz projects during the initial phase of the engagement and transform into Run the Biz post operationalization of the support solutions
  • You must be motivated, driven and a team player. You should be willing to learn quickly and be enthusiastic about working on a wide range of product areas. You must work well independently and as part of a team. Strong communication skills are essential.
Minimum Qualifications
  • Core Skills for during the Change the Biz phase:
  • Automation products like Blue Prism, Automation Workfusion
  • Automation technologies like RPA, Intelligent Automation
  • AI/Client, Deep Learning Cognitive Computing - Azure Machine Learning/AWS Client/Google Client
  • Apache Spark & SparkML for machine learning
  • Design and deliver PoC/PoV RPA solutions
  • Predictive modeling ranging from R or SAS or Matlab
  • Programming in MxNet, Tensorflow, Caffee frameworks
  • Programming language (R, Python, Java, C/C++)
  • Automation tools - Workfusion/BluePrism/UIPath
  • Machine learning concepts ranging from RNN, CNN's and LSTM's
  • Natural Language Processing, classification, pattern recognition, recommendation systems
  • Skills required during Run the Biz:
  • Containerization (Docker)
  • Container orchestration platforms (Kubernetes, Marathon)
  • Web platforms (PostgreSQL, NGINX, HAProxy)
  • Configuration Management Systems (Chef, Puppet, Ansible, etc.)
  • Monitoring systems (Nagios, Sensu, AppD)
  • Continuous integration software, e.g. Jenkins or Bamboo
  • Amazon Web Services / AWS skills
  • Resource managers, e.g. Mesos, Kubernetes, Yarn, etc
  • Distributed messaging systems, e.g. Kafka
  • Big Data tools, e.g. Spark, Hive, HDFS, Scala, Hadoop
  • Understanding, modifying, and writing Python code
  • Web interfaces for internal-facing tools - JavaScript and CSS
  • ETL tools (including No SQL) such Cassandra/Drill/Impala
  • Strong self-motivation for solving problems and innovating with furious intent to improve the customer experience
  • Strong problem solving and software development/troubleshooting skills. Ability to "think in code " and discuss ideas and algorithms is a must.
  • Typically requires MSEE/CS combined with 6-8 years of related experience, or BSEE/CS combined with 10 yrs related experience