Technical Support Engineer

AINS LLC DBA OPEXUSWashington, DC
$95,324 - $115,190Remote

About The Position

The Technical Support Engineer (TSE) serves as a key player within Casepoint’s US technical Support team. This customer-facing position supports Government and Commercial customers as they perform their eDiscovery tasks and provides technical support as needed. The TSE provides user support for enterprise self-service clients by troubleshooting and resolving issues with the following: ingestion, processing, productions, data loading issues, cloud collections, integrations, and legal hold. TSEs also provide technical support to troubleshoot all Casepoint platform application issues and develop root-cause analyses. Strong candidates must have the right combination of organizational, multi-task management skills, technical acumen and/or education, and electronic discovery experience to successfully manage multiple tasks serving commercial customers. This role is ideal for someone with a solid foundation in eDiscovery who is ready to take on more responsibility and contribute to the success of high-stakes legal projects.

Requirements

  • Computer science or information technology-related degree with a focus on database administration or data analysis or an equivalent combination of education and experience
  • Minimum 2 years of experience in eDiscovery field
  • Strong understanding of the EDRM lifecycle
  • A solid understanding of database design and management, data processing activities, and legal document review requirements
  • Ability to work in a fast-paced, deadline-driven environment while handling multiple tasks through completion
  • Excellent communication and customer service skills
  • Excellent client relationship skills which include the ability to proactively manage client expectations, recognize client needs and adapt company capabilities to consistently meet client requirements
  • US Citizenship (non-dual) is required by government contract.
  • Current Secret or above clearance required.

Nice To Haves

  • Advanced understanding of PostgreSQL queries and procedures is a plus

Responsibilities

  • Responsible for day-to-day task needs with government and commercial customers
  • Respond to end users and customers on basic technology-related issues and questions
  • Capture detailed information regarding the issue and resolutions in the ticket tracking system
  • Manage, track, and resolve tickets within service level agreement thresholds, escalating as needed
  • Support users who have issues with ‘self-service’ eDiscovery tasks, such as ingestion, processing, productions, data loading, cloud collections, legal hold, and other Casepoint platform application integrations.
  • Perform data analysis, data exports, and data manipulations
  • Convert, normalize, and migrate data from a variety of databases, converting text and image files to various formats
  • Provide coding support (e.g., Postgres) as needed for data ingestion, processing, or analysis. Address exceptions that occur while data processing, data ingestion, or any other eDiscovery requests
  • Perform data disposition activities like archive and deletion
  • Complete user-based administration tasks, including creating categorization tags and running searches in order to complete litigation support tasks
  • Set and manage expectations with customers
  • Communicate with project leads on estimates and deadlines for tasks
  • Assist project managers with Casepoint application tasks
  • Understand various components of the platform ELK Stack, PostgreSQL, Redis, Rabbit MQ, API servers, and their interaction. Possess basic understanding of virtual/cloud infrastructure and networks
  • Possess a basic understanding of file transfer technologies across various cloud/on-prem platforms
  • Analyze issues and provide detailed analysis to the Product team
  • Work with customers to reproduce issues and share the exact details with the Product team
  • Develop root cause analysis
  • Apply basic knowledge of PostgreSQL queries and procedures - advanced understanding is a plus
  • Provide structured and non-structured data analysis, data modeling, and optimization.
  • Make recommendations related to the performance and efficiency of data storage including more effective use of indexes or other DBMS specific features
  • Debug code with guidance from product team for troubleshooting
  • Coordinate with internal teams (Information Services, Product, Customer Services) to ensure that system issues are resolved in time.
  • Serve as the main point of contact to resolve all aspects of the ticket and provide updates and resolution to the customer.
  • Ensure system parameters are monitored and system is functioning normally at all times
  • Serve as point person when system reliability goes down

Benefits

  • hybrid work schedules
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