Principal Data Infrastructure Engineer

| Seattle, WA | Remote
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.  

We are an innovative, intent-driven company that believes in building the future and we are looking for growth-minded, unconventional thinkers, developers, and builders to join the team.

You will thrive here if: 

  • You can operate in a fast-paced, dynamic environment
  • You can build partnerships that move our business forward
  • You build code that is simple, understandable, and clean  
  • You see feedback or failure as motivation to learn and to grow 
  • You believe data-driven decision making is the norm
  • You relate to our core principles (link) and want to work with Conversational AI experts

About the Team:

We’re a highly motivated engineering team working in a collaborative environment to iterate quickly in an outstanding opportunity space of ML, NLP, text analytics, and Big Data, crafting solutions that address data and infrastructure needs for enterprise customers and users.

We build and manage large-scale production hybrid infrastructure (on-prem and public cloud) that supports state-of-the-art machine learning automation, model deployments, text analytics, large-scale batch and real-time data processing, and highly available consumer-facing services built on top of distributed stores like ElasticSearch.

About the Role:

LivePerson is growing fast, and we want our technology to keep up.  This is a great opportunity to build, and innovate on the infrastructure that serves large volumes of data and work with an outstanding engineering and data science team.  You will be the distributed data store expert on the team and will help evolve our data pipeline, database, and data storage systems and how they are used by the application teams so we can scale faster than ever before.  

In this role you will:

  • Evolve and optimize enterprise-grade ElasticSearch clusters as organizational utilization grows.
  • Manage, tune and troubleshoot issues with large-scale data storage infrastructure like Elastic, Kafka, MongoDB, Postgres, etc.
  • Design and build the next-generation data infrastructure for our ML Platform and related consumer-facing services.  
  • Conduct multi-environment capacity planning.
  • Support on-prem, cloud (GCP), and hybrid services in production.
  • Identify and implement best practices to support a highly available deployment (support business continuity/disaster recovery, backup and restoration, zero-outage upgrades etc.) 
  • Develop and exercise automated infrastructure testing.
  • Provide in-depth expertise on evolving ElasticSearch and related data infrastructure systems.
  • Educating other engineers on best practices for the above activities.  Mentoring other engineers to help develop the next generation of Principal engineers at LivePerson.
  • Advocating for solutions that help teams launch quality software without compromising delivery speed.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent training for work experience
  • 10+ years of equivalent professional experience building software service backend at scale
  • 5+ years of hands-on experience working on Unix/Linux operating systems and shell scripting.
  • Expert knowledge of ElasticSearch deployment/management, performance, and scaling 
  • Hands-on experience with automation-centric scripting or tooling such as Ansible, Terraform, Chef, or Puppet.

Preferred Qualifications

  • Experience creating architectures that scale with volume and are fault-tolerant
  • Familiarity with distributed systems & asynchronous messaging
  • Experience tuning distributed systems & software to improve performance under increasing volumes of traffic
  • Experience developing cloud software services and an understanding of design for scalability, performance, and reliability, in both private and public cloud environments
  • Excellent written and verbal communication skills, with proven ability to adapt communication style to technical, non-technical, and executive audiences
  • Proven ability to influence without authority up through VP level
  • Experience with Hadoop, Apache Flink, Spark-streaming, or other big data storage and query systems is a plus.


 

Why you’ll love working here:

LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.

At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. 

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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