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Application Support Specialist – Market Data & Trading Systems (m/f/d)
Solactive AG
Toronto, CAN
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
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- Provide L1/L2 support for mission‑critical index, market‑data, and trading‑related applications
- Monitor distributed Linux systems, analyse logs, and resolve real‑time production issues
- Lead incident management, coordinating with global tech and business teams, and driving root‑cause analysis
- Ensure SLA‑compliant resolution and maintain high platform availability
- Manage change, release, and deployment activities following ITIL best practices
- Troubleshoot issues across market connectivity, data feeds, APIs, and distributed systems
- Support financial, business, development, and data teams with application and data‑related inquiries
- Analyse and modify complex SQL datasets, log messages, and system behaviour to identify and resolve issues
- Execute database modifications and optimise complex queries
- Act as a primary contact for business users across Hong Kong, Frankfurt, and Toronto
- Serve as incident manager in real time, covering operations, escalation, resolution, communication, and documentation
- Translate business requirements into technical actions and platform enhancements
- Lead projects end‑to‑end independently
- Document procedures, troubleshooting guides, and best practices
- Maintain operational runbooks and support documentation
- Identify opportunities to improve monitoring, workflows, and support processes proactively and independently
- Mentor junior support staff and contribute to a culture of operational excellence
- 5+ years in application/technical support within financial markets, trading platforms, or market‑data systems
- Strong understanding of front‑to‑back trade flows and market connectivity
- Experience supporting technical real‑time trading, market‑making, risk, or market‑data systems
- Strong Linux expertise (shell, troubleshooting, performance analysis)
- Strong SQL across major RDBMS (Oracle, PostgreSQL, SQL Server)
- Experience with monitoring stacks (ELK, Kibana, Grafana, Alerta)
- Familiarity with APIs, job schedulers, and distributed systems
- Knowledge in Bash/Python scripting for automation and data analysis
- Knowledge of cloud platforms (AWS/Azure) is a plus
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