Application Support Analyst / Senior Application Support Analyst

KX is a global leader in real-time data analytics, delivering high-performance solutions across industries such as finance, manufacturing, and IoT. Our Application Support team ensures the stability, performance, and efficiency of mission-critical applications for enterprise clients.

You’ll collaborate with enterprise customers, internal engineering teams, and infrastructure specialists to resolve complex technical issues and enhance system performance.

Key Responsibilities:

• Provide technical support for KX applications, ensuring high availability and performance.
• Diagnose and troubleshoot software, infrastructure, and database-related issues.
• Monitor system health, logs, and performance metrics to identify potential problems.
• Work with development teams to escalate and resolve critical software defects.
• Assist in application deployments, upgrades, and configuration changes.
• Document troubleshooting steps, solutions, and best practices.
• Develop automation scripts and tools to improve support efficiency (for senior-level candidates).
• Mentor junior analysts and contribute to team knowledge-sharing initiatives (for seniorlevel candidates).
• On-call and weekend work will be required to support critical incidents, system maintenance, or client needs outside regular business hours.

Required Skills & Experience: We welcome applications from candidates with varying levels of experience. Depending on your

background, your role will be scoped accordingly.

For Mid-Level Candidates:

• 2+ years of experience in application support, IT operations, or technical support.
• Good troubleshooting skills in Linux/Unix environments.
• Experience with databases (SQL, kdb+/q, or time-series databases).
• Strong communication and problem-solving skills.

For Senior Candidates:

• 5+ years of experience in a similar role, supporting high-performance applications.
• Expertise in Linux/Unix system administration, distributed systems, and networking.
• Strong experience in SQL, kdb+/q, or other time-series databases.
• Hands-on knowledge of performance tuning, automation (Python, Shell, etc.), and monitoring tools.
• Ability to lead incident resolution, perform root cause analysis, and mentor junior team members.

Preferred Qualifications (for all levels):

• Experience in financial trading systems, IoT applications, or real-time analytics.
• Familiarity with observability tools (Splunk, Prometheus, Grafana, ELK stack).
• Experience with cloud platforms, DevOps practices, and CI/CD pipelines.
• ITIL certification or experience working in an ITIL-based support environment.

• Work with cutting-edge real-time analytics technology.
• Competitive salary, benefits, and professional development opportunities.
• A dynamic and collaborative team environment.
• Opportunities for career progression, with roles suited to different levels of experience