Digital Assets Platform Support
Indexed description
- Support the production operation of digital asset platforms, including wallets, blockchain nodes, and transaction processing systems.
- Ensure high availability and reliability of systems supporting digital asset lifecycle management and transaction flows.
- Provide L2/L3 support for incident, problem, and change management, including post-incident reviews and continuous improvement.
- Monitor system health across:
- Blockchain nodes and networks
- Wallet infrastructure (hot, cold, hardware, multi sig)
- Transaction pipelines and reconciliation processes
- Latency, throughput, and network conditions
- Investigate and resolve issues related to:
- Transaction failures or delays
- Reconciliation breaks
- System performance degradation
- Anomalous or risk flagged activity
- Collaborate with engineering, cybersecurity, risk, and business teams to enhance platform stability and security controls.
- Work with vendor and managed service providers supporting blockchain infrastructure, custody, and wallet services.
- Contribute to observability practices (monitoring, logging, tracing, alerting) across distributed systems.
- Support capacity planning and performance analysis for scaling blockchain nodes and transaction systems.
- Participate in resilience and recovery testing, including failover, DR, and key-material backup validation.
- Drive and implement automation across monitoring, reconciliation, and operational processes.
- Maintain clear runbooks, documentation, and knowledge sharing for production operations.
Qualifications
Core Experience
- 5–8 years of experience in:
- Production Support / SRE / Platform Engineering, OR
- Electronic Trading / Markets Technology Support, OR
- Payments / transaction processing platforms
- Proven experience supporting mission-critical, high-availability systems in fast-paced environments.
- Strong troubleshooting and problem-solving skills in distributed systems.
- Experience with one or more: Java, Python, Go, or similar
- Experience working in Linux environments
- Familiarity with containers and Kubernetes/OpenShift
- Experience with databases ( Postgres, Oracle, MongoDB, Redis)
- Strong experience with observability tools (e.g., Splunk, Grafana, Prometheus, ELK)
Qualifications: BACHELOR OF COMPUTER SCIENCE
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