We are hiring a team of self-driven technology experts to kickstart the projects.

Mid-Senior Role: (One Position)

Team Lead with a minimum 8 years of experience with a proven background in modern engineering practices to play a key role in the development of products. Must have hands-on experience in the following technologies:

  • React js, Node.js, Redux
  • Integration with Rest and SOAP web services
  • RDBMS (MySql, Postgress)
  • CI/CD (Preferred Jenkins/concourse) must be able to work in an agile environment
  • Experience in TDD
  • Experience with cloud (either AWS/AZURE) with focus on serverless technologies
  • Exposure to DevOps (Terraform, cloudformation), should be able to write shell scripts.
  • Should be able to guide and motivate team members to achieve goals.
  • Good to have:
  • Working experience with AZURE cloud platform
  • Exposure to Python, Data pipelines (experience with Airflow, Apache Spark), Streaming data (Kafka).
  • Expose to Big data processing with storage (Cassandra, Redshift or any tool which can store terabyte of data).
  • Exposure predictive analytics
  • Full-Stack Engineer: (2 positions): 4-5 years of relevant experience in the at least 3 of the following:

  • React, Node.js, Redux
  • Integration with Rest and SOAP web services
  • RDBMS (MySql, Postgress)
  • CI/CD (Preferred Jenkins/concourse) must be able to work in an agile environment
  • Experience in TDD
  • Experience with cloud (either AWS/AZURE) with focus on serverless technologies
  • Good to have:
  • Working experience with AZURE cloud platform
  • Exposure to Python, Data pipelines, Streaming data
  • Mobile app development using ReactNative
  • Database Engineer: (1 position)

  • Database design, maintenance and backup.
  • SQL programming (Triggers, stored procedures, views etc)
  • Experience with ETL (Talend, Apache Airflow)
  • Experience with Python programming (lib such as Pandas, Numpy)
  • Expose to Big data processing with storage (Cassandra, Redshift or any tool which can handle terabytes of data)
  • Exposure to build data pipeline and handle streaming data.
  • Business analytics and predictive analytics.