Implementation Engineer (USA) - Delivery


The engineering team is responsible for building a robust predictive platform, which can add significant value to the BFSI vertical in solving operational and compliance risk problems. We take pride in building the system right and continuously evolving it. You have the freedom to choose right tools for the task. We encourage our engineers to participate in and contribute to open-source communities.

Our Ideal Candidate

Our engineering team is looking for an implementation engineer with 3-6 years solid experience. The candidate’s responsibilities and required skills and experience are:

  • Managing the big data application stack including HDFS, YARN, Spark, Hive and Hbase
  • Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
  • Experience setting up high availability, configuring resource allocation, setting up capacity schedulers and configuring data level ACLs using Ranger, Sentry etc
  • Experience working with and supporting middle layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)
  • Experience setting up enterprise security solution including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc
  • Experience supporting on-premise solutions as well as on cloud – AWS and Azure.
  • Experience working with containerized infrastructure and orchestration
  • Experience with one or more automation tools – like Ansible, Teraform etc
  • Experience working with CI / CD tools like Jenkins and various test report and coverage plugins
  • Experience working with and supporting Java and Python based tech stacks would be a plus

Desired Non-technical Requirements

  • Very strong communication skills both written and verbal
  • Strong desire to work with start-ups
  • Must be a team player

Job Perks

  • Attractive variable compensation package
  • Flexible working hours – everything is results-oriented
  • Opportunity to work with an award-winning organization in the hottest space in tech –artificial intelligence and advanced machine learning