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Aera Technology

AI-based decision automation for enterprises

Developer Support Engineer

Customer SupportPosted on Nov 9
Full-timeBucharest, RomaniaNo salary listedHybrid

About the Job

Requirements

  • 2 to 4 years of professional experience and a Bachelor's degree in a technical field or equivalent are required.
  • Experience with log analysis and performance troubleshooting is required.
  • Experience with SQL, REST APIs, single sign-on (SSO), Unix, and cloud technologies is required.
  • Good knowledge of SQL, database performance analysis, and optimization is required.
  • Knowledge or experience with application servers is required.
  • Onshore and offshore coordination and communication experience is required.

Responsibilities

  • Quickly learn the functional aspects of Aera’s product line.
  • Work on customer-reported issues by interacting with teams including quality assurance, application development, engineering, and product management.
  • Systematically gather information and perform root cause analysis.
  • Communicate issue and project-item status to customers and own 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, or similar tools is preferred.
  • Experience working at a startup software company is an advantage.
  • Expertise in business intelligence software, including extract, transform, and load (ETL) and data warehouse concepts, is preferred.
  • SAP techno-functional experience is an advantage when working with enterprise customers.
  • A background in Java programming is a plus.
  • Understanding of three-tier application architecture is a plus.
  • Working knowledge of cloud platforms such as AWS or Azure is a plus.

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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