Senior Support Engineer

EPAM Systems, Inc. · Philadelphia, PA, United States ·
HybridFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on WeAreDevelopers

  • Senior level role
  • C# and .NET focus
  • Multi-database support
  • AWS cloud architecture
  • Fully remote

Join FTSE Engineering as a Senior Support Engineer specializing in SQL and backend systems. You will act as a subject matter authority for 3rd line support, resolving complex technical issues that exceed first and second line capabilities. The role involves ensuring the stability of production systems and collaborating with business stakeholders to understand data interactions within the Index business lifecycle.

What you'll do

  • Lead day-to-day production support for critical systems
  • Diagnose and resolve complex technical issues beyond initial support lines
  • Collaborate with technology teams and business users on workflows
  • Partner with support managers and internal business collaborators
  • Manage issues within Index Platforms using AWS cloud-native architecture
  • Deliver long-term fixes for multi-database applications
  • Ensure high availability and performance of database systems

What you'll need

  • 8-10+ years of experience with C#, .NET, and backend SQL
  • Extensive experience supporting database applications across multiple platforms
  • Proficiency in SQL Server, Sybase, and PostgreSQL
  • Strong skills in debugging complex SQL queries and stored procedures
  • Experience with data-intensive applications and large datasets
  • Solid background in C#.NET application development for database operations
  • Good experience with cloud services like AWS or Azure
  • Strong verbal and written communication skills for stakeholder collaboration

Nice to have

  • Familiarity with PostgreSQL Aurora and queues
  • Experience with Elasticsearch
  • Exposure to Business or Technical Analysis
  • Background in QA, Delivery Management, or Governance

Stack

  • C#
  • .NET Framework
  • SQL Server
  • Sybase
  • PostgreSQL
  • AWS
  • Azure
  • Elasticsearch