Technical Support Engineer

Job Description

Summary:

It's fun to work in a company where people truly BELIEVE in what they're doing!

Company Focus:
Enterprise software, specifically Multi Value (MV) database products (Uni Verse, Uni Data, and related tools).

Type of Role:
Hybrid technical support + QA + light development — not a traditional help desk position.

• Support global customers with deployment, configuration, and troubleshooting of MV database products.
• Perform root cause analysis on complex issues in live production environments.
• Take part in 24/7 on-call shifts, including nights, weekends, and holidays, to quickly respond to critical incidents.
• Assist the QA team with testing database patches and new releases.
• Write automation scripts (Python, Shell) for log analysis and internal testing.
• Read and debug C code to help identify bugs alongside senior engineers.
• Write technical documentation and knowledge base articles.
• Help integrate AI tools into support workflows.

• 0–2 years in support, QA, or junior dev roles.
• CS/IT degree (or related).
• Comfortable with Windows, Linux, and AIX.
• Basic C and Python skills.
• Interest in AI/LLMs.
• Familiarity with Git, Jira, and Agile practices.

Are you passionate about complex problem-solving and eager to kick-start your career in enterprise software? We are looking for a highly motivated Technical Support Engineer I to join our Multi Value (MV) Database team. In this dynamic, hybrid role, you will serve as the crucial bridge between our global customers and our core engineering teams, supporting our mission‑critical Uni Verse and Uni Data database engines, as well as the broader MV ecosystem.

• Customer Success: Act as a trusted technical advisor to our global customer base, ensuring seamless deployment, configuration, and optimal usage of the MV product suite, driving complex technical challenges to strategic resolution while proactively managing expectations.
• Advanced Troubleshooting & AI Initiatives: Provide real‑time, critical support in live customer production environments, conduct root cause analysis, and actively support the integration and optimization of evolving AI workflows.
• Cross‑Functional QA: Partner with the QA team to validate database engine patches and new releases, designing, executing, and refining test cases to ensure comprehensive coverage and high quality.
• Automation & Tooling: Develop and maintain automation solutions using scripting languages to streamline log analysis, support AI‑driven workflows, and enhance internal automated testing environments.
• Code‑Level Investigation: Engage in code‑level diagnostics within our core C codebase, identify defect patterns, and collaborate with senior engineers to implement structural fixes.
• Knowledge Sharing: Author comprehensive technical documentation, establish best practices, and build robust knowledge bases to modernize support workflows and scale team capabilities.
• Global Operational Readiness: Participate in scheduled on‑call rotations, providing essential support during after‑hours, weekends, and holidays to rapidly respond to high‑severity incidents.

• 0 to 2 years of experience in Technical Support, Software Testing (QA), or a Junior Software Development role.
• Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
• Hands‑on experience navigating, troubleshooting, and administering Windows, Linux, and AIX operating systems.
• Foundational knowledge of programming languages—specifically C and Python—with a strong willingness to read code, debug, and build automation scripts.
• An active interest in Artificial Intelligence and Large Language Models (LLMs), with curiosity for how AI can modernize enterprise software and support workflows.
• A basic understanding of Database Management Systems; prior exposure to No
  
  SQL or Multi Value databases is a distinct advantage.
• Familiarity with modern development and collaboration tools, such as version control systems (Git/Bitbucket) and issue‑tracking software (Jira).
• A solid grasp of the Software Development Life Cycle (SDLC), Agile methodologies, and software testing principles.
• Strong…