Need KDB+ / Q Engineer - Remote!!!!!

Need KDB+ / Q Engineer - Remote!!!!!

Posted 1 week ago by 1758965883

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Negotiable
Outside
Remote
USA
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Dashboard Data Ingestion File Servers Generic Programming Low Latency Performance Tuning Profiling (Computer Programming) Software Development Time Series Topology

Summary: The KDB+ / Q Engineer role involves developing monitoring and alerting capabilities for a large installation of KDB+ databases used by quant and trading firms. The position focuses on assessing current server deployments, evaluating monitoring tools, and designing analytics dashboards to optimize performance. The role is remote and requires expertise in KDB+ and the Q programming language. The contract duration is expected to exceed 10 months.

Key Responsibilities:

  • Assess current KDB+/Q server deployment, usage patterns, and SLAs.
  • Capture inventory of available metrics, logs, and traces.
  • Analyze data ingestion and query pathways, including latency and throughput.
  • Evaluate existing monitoring tools and identify gaps in monitoring coverage.
  • Analyze integration points and data consumption patterns of applications interacting with KDB+.
  • Design and implement analytics dashboards to visualize Service Level Indicators (SLIs).
  • Generate automated server environment profile reports and resource utilization analysis.
  • Identify and profile slow or resource-intensive queries with optimization suggestions.
  • Create a performance dashboard for real-time monitoring of defined metrics.

Key Skills:

  • Expertise in KDB+ and Q programming language.
  • Experience with monitoring tools such as Cerebro and Telegraf.
  • Strong analytical skills for assessing server performance and monitoring coverage.
  • Ability to design and implement dashboards for telemetry and analytics.
  • Knowledge of performance tuning and optimization techniques.
  • Experience with data aggregation and reporting.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: KDB+ / Q Engineer

Location: Remote

Duration: 10+ Months

Primary skill: KDB+ / Q (KDB+ is an ultra low latency high performance time series DB that is used by quant / trading firms that drive millisecond efficiency). Q is the programming language to interact with KDB+ databases.

Scope: Client has a huge installation of on-premises instances / servers (e.g., KDB deployment). The vision is to develop monitoring / alerting capability to sense when bottlenecks might happen, to proactively address these situations, and build state-of-the-art

Discovery

  • Current KDB+/Q server deployment, usage patterns, and SLAs
  • Capture Inventory of available metrics, logs, and traces
  • Capture data ingestion and query pathways, including latency and throughput

Assessment

  • Evaluate existing monitoring tools (i.e., Cerebro, Telegraf, custom tools) used in monitoring and managing the KDB+ ecosystem and custom code
  • Identify gaps or inefficiencies in current monitoring coverage
  • Analyze the integration points and data consumption patterns of applications interacting with KDB+
  • Understand key application dependencies and performance considerations

Analytics/Telemetry Dashboard

  • Design and implementation of dashboards by aligning with Client on what level the dashboards will be aggregated at, and then to visualize Service Level Indicators (SLIs) such as disk space utilization, query latency, system availability, CPU/memory usage, and error rates
  • Recommendations for SLI thresholds and alerting

Deliverables

Overall Optimization of Telemetry:

  • Server environment profile report: Generate automated report based on programmatically collected info on server specs, KDB versions, process topology, and deployment architecture
  • Data aggregation (Process & Session): List of in-scope running processes, user sessions, and their configurations, and aggregating the data for analysis
  • Resource Utilization and Server Log Analysis: Report and dashboard summarizing latency, CPU, memory, disk, and network usage patterns, and recommendations for tuning and optimization to Client team to perform
  • Query Performance Analysis: Identification and profiling of slow or resource-intensive queries, with optimization suggestions
  • Performance Dashboard: Visual dashboard for real-time monitoring of defined metrics

Regards,

Radiantze Inc

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