Job Description :
Title: Service Excellence Lead
Location: San Jose, CA
Duration: Long Term

Who You Are
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 / ML) 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/ML, Deep Learning Cognitive Computing - Azure Machine Learning/AWS ML/Google ML
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/UIPathMachine learning concepts ranging from RNN, CNN’s and LSTM’s
Natural Language Processing, classification, pattern recognition, recommendation systems

Skills required during Run the Biz:
Typically requires MSEE/CS combined with 6-8 years of related experience, or BSEE/CS combined with 10 yrs. related experience
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.