About KX
KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.


Overview Of The Role
KX is hiring a for a Service Engineer to join our team and provide technical support to our customers. You will provide technical support for customers working with financial data and trading applications, helping maintain reliable operations and resolve technical issues within agreed service-level agreements (SLAs). Working with OneTick, Python, and Apache Airflow, you will investigate issues, support data-processing pipelines, and collaborate with engineering and product teams. This role offers opportunities to develop your technical expertise and gain international experience in financial technology.

Location & Workplace Type
This position follows a hybrid work model and requires regular in-office collaboration in Yerevan.

Skills

• Strong analytical thinking and a structured approach to troubleshooting.
• Clear communication, including the ability to explain complex technical issues in accessible language.
• Ability to prioritize cases, manage competing demands, and follow through on outstanding issues.
• Strong documentation skills and attention to detail.
• Familiarity with ITSM concepts, including incident, problem, service request, and change management, would be an advantage.
• Knowledge of financial markets, asset classes, trade lifecycle events, and corporate actions would be beneficial.
• Familiarity with network diagnostic tools such as ping, traceroute, mtr, netstat/ss, and dig would be a plus.
• Basic knowledge of memory usage, performance, algorithms, and data structures would be beneficial.
  
  

Essential Experience

• Hands-on Python experience, including reading, writing, and debugging scripts.
• Practical experience with Linux, including confident use of the command line and an understanding of system fundamentals.
• Working knowledge of Git/GitLab workflows and commonly used commands.
• Experience working with Apache Airflow DAGs for data-processing pipelines.
• Practical understanding of the software development lifecycle (SDLC).
• Previous L1/L2 technical or customer support experience would be a strong advantage. Additional experience with AWS services, observability stacks such as ELK or LGTM, Pandas, NumPy, Django, or processing large datasets using chunking techniques would be beneficial but is not required.
  
  
  

Preferred Qualifications

• Professional working proficiency in English, both written and spoken.
• A strong sense of ownership, accountability, and commitment to meeting SLAs.
• Willingness to learn new technologies, including the OneTick time-series database.
• Interest in financial markets, investing, and trading workflows.
• Ability to work effectively with customers and colleagues across international teams.
  

• Take ownership of customer issues, from initial investigation through resolution, escalating complex cases to technical leads or engineering teams when needed.
• Troubleshoot issues affecting applications, data-processing pipelines, and system operations.
• Provide clear, timely updates to customers and internal stakeholders, explaining technical findings and next steps.
• Track open cases, follow up on outstanding actions, and flag potential SLA risks promptly.
• Maintain accurate case records in the ticketing system, including investigation steps, findings, and resolutions.
• Follow and improve standard operating procedures (SOPs) and knowledge base articles.
• Identify recurring issues and share findings and customer feedback to support service improvements.
• Collaborate with engineering and product teams to investigate and resolve customer issues.