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Aera Technology

AI-based decision automation for enterprises

Developer Support Engineer

Customer SupportPosted on Nov 6
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • Two to four years of professional experience and a bachelor's degree in a technical field or equivalent.
  • Experience with log analysis and performance troubleshooting in Unix.
  • Experience with single sign-on and REST APIs.
  • Good knowledge of SQL, database performance analysis, and optimization.
  • Knowledge or experience with application servers.
  • Expertise in business intelligence software, ETL, and data-warehouse concepts is preferred.
  • Experience coordinating and communicating with onshore and offshore teams.
  • A positive, collaborative, team-oriented attitude when working with customers and colleagues.

Responsibilities

  • Learn the functional aspects of Aera's product line.
  • Address customer-reported issues by interacting with teams including QA, application development, engineering, and product management.
  • Gather information systematically and perform root-cause analysis efficiently.
  • Communicate with customers about the status of issues and project items, and manage the ticket lifecycle.
  • Meet the defined service-level agreements with each customer.
  • Develop knowledge-base articles for internal teams and external partners.
  • Participate in shift rotation.

Desired Qualifications

  • Knowledge of Zendesk, Jira, Confluence, Bitbucket, or similar tools.
  • Experience working in a start-up software company.
  • SAP techno-functional experience.
  • Background in Java programming.
  • Understanding of three-tier application architecture.
  • Working knowledge of cloud platforms.

About the Company

Aera Technology

AI-based decision automation for enterprises

Aera Technology provides AI-powered decision automation for large enterprises, especially with complex supply chains. Its system continuously analyzes and indexes data from enterprise systems to give real-time visibility, predict risks and opportunities, and recommend the best actions. It can autonomously execute decisions and learns from each outcome to improve future recommendations. This differentiates it by focusing on end-to-end decision automation that combines real-time insights with autonomous action rather than just analytics. The company targets large corporations and operates on a subscription or licensing business model, aiming to help customers reduce operating costs, increase efficiency, and boost revenue.

Company size
201-500
Company stage
Series C
Total funding
$173.7M
Headquarters
Mountain View, CA
Founded
2017

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