Principal Big Data Operations EngineerSunnyvale, California, United States.

About us

AgilOne's vision is to restore the personal relationships companies once had with customers before channel-specific marketing silos got in the way. Through a single view of customers across all channels, predictive models to understand customer behavior, and real-time APIs to orchestrate personalized experiences across all touchpoints, AgilOne creates authentic omni- channel customer relationships that maximize lifetime value.

Principal Big Data Operations Engineer

Sunnyvale | California | United States

We're looking for a leader in our technical operations team, a core team in our cloud service delivery. This leader will be working with our product engineering team to build out our system both tactically and strategically.

Our customer base is rapidly growing and we are continuously developing new software systems. This means our technical operations team needs to maintain our system as well as support our growth by building out our system in a strategic direction. The role also includes collaborating with development and business to define a roadmap and architecture that meets business requirements. As a cloud based service we build an infrastructure that efficiently support economies of scale. As the organization and system grow the person needs to work with the team to establish efficient processes and procedures to enables scalable and efficient operation of the cloud service.

Responsibilities:
    • Design and deliver high availability architecture, including disaster recovery
    • Build tools to automate and manage the environment
    • Build/Setup tools to monitor environment and notify teams before failure
    • Implement and optimize cluster configurations
    • Test and upgrade new hadoop and hbase versions
    • Create and maintain documentation of systems, processes and environments
    • Participate in an on-call rotation and other daily routines
    • Provide guidance to improve big data architectures
    • Mentoring team members across the Operations team


Qualifications:
    • Minimum 5 years of Linux Systems experiences (Debian, Ubuntu, and CentOS-based in particular)
    • In depth knowledge of Hadoop/Hbase infrastructure with real-life experience with setting up, managing and troubleshooting platforms and clusters of 200 to 1000 nodes
    • Have 24X7 high-availability production environment experiences
    • Strong with one of the popular scripting languages such as python, ruby, bash, java
    • Experience with at least one configuration management tool such as Puppet, Chef or cfengine, ansible
    • In depth knowledge of Kafka, Elasticsearch, Hive on Spark, Impala, AWS
    • Self-motivated energized by working in a fast paced environment with limited direction
    • Strong communication skills
    • Attention to detail


Nice to have:
    • Familiar with common virtualization platforms
    • Experience using nginx, MySQL, TomCat/Jetty, Redis, MemCache, Apache2, iptables, nagios
    • Experience with Jenkins or other continuous integration
    • Basic system and network troubleshooting


The AgilOne Story:

AgilOne, the Customer Data and Engagement Hub, provides enterprise consumer marketers the power to integrate customer data across digital, physical, and mobile channels, deliver customer analytics with predictive insights and 360-degree profiles, and engage customers at every touch point in order to maximize lifetime value. Currently, the AgilOne solution supports more than 150 brands worldwide.

We leverage the latest technologies in big data, machine learning and data quality management to deliver an enterprise-grade, scalable and high performance tool for customers such as Tumi, Lululemon, Lilly Pulitzer and David's Tea. AgilOne is funded by the best in the Valley - Sequoia Capital, Tenaya, and Mayfield.

• Competitive compensation

• Excellent benefits

• Equity

• 401k

• Catered lunches, snacks and beverages

A fun environment to work hard and play harder with passionate people building great products!

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