Technical Support Engineer
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Key skills for this role
Key Skills for This Role
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Administrative/User Support
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. In addition, provide user support for the following:
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
Technical
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
Coordination
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.
System Reliability Monitoring
Ensure system parameters are monitored and system is functioning normally at all times
Serve as point person when system reliability goes down
What You’ll Bring to the Team:
Computer science or information technology-related degree with a focus on database administration or data analysis or an equivalent combination of education and experience
Specialized Knowledge : Minimum 2 years of experience in eDiscovery field Strong understanding of the EDRM lifecycle
Minimum 2 years of experience in eDiscovery field
Strong understanding of the EDRM lifecycle
Technical Proficiency : 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
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
Communication : 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
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
Citizenship : US Citizenship (non-dual) is required by government contract.
Clearance : Current Secret or above clearance required.
Work Location & Flexibility
- We are headquartered in Washington, D.C., and this role is eligible for remote work from the following states: AR, AZ, CA, CO, CT, D.C., DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MN, NC, NH, NJ, NY, OH, OR, PA, SC, TX, VA, WA, WI, WY. If you live outside these states, unfortunately we’re not able to consider your application at this time.
About Casepoint
OPEXUS, a leader in government process management software, and Casepoint, a top provider of data discovery technology for litigation, investigations, and compliance, merged in January 2025, with a majority investment from Thoma Bravo. The merger combines OPEXUS' expertise in government process management and Casepoint's advanced data discovery technology to create a scalable platform that meets growing demands for efficient, secure data management in the public and regulated sectors. This collaboration enhances workflows for government and enterprise clients, focusing on data discovery, litigation, and compliance.
The Washington Post, which named OPEXUS + Casepoint as the best place to work, solidifies the company's commitment to fostering a supportive, innovative, and inclusive work environment. Our dedicated team has created a culture grounded by our shared values that encourage everyone to speak up, join in, and celebrate together. From our hybrid work schedules to our prime downtown D.C. location, working at OPEXUS + Casepoint offers the best of all worlds.
Casepoint is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
About Casepoint
Parent group profile
OPEXUS
Software for government process management and legal data discovery.
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