Senior Monitoring Engineer

Overview

We’re seeking a Senior Monitoring Engineer to join a high‑performing Monitoring Engineering team in a fast‑paced finance technology organization. You’ll design, develop, and maintain monitoring and observability solutions that keep core applications and infrastructure healthy and visible. In close partnership with application, platform, and development teams, you will implement alerting systems, dashboards, correlations, and automation—driving reliability, reducing MTTR, and elevating operational awareness.

• Design, Build, and Maintain Monitoring & Observability Solutions
  • Develop and maintain instrumentation, telemetry, and alerting for the Enterprise Monitoring Center using industry‑leading tools, such as:
    • Grafana
    • Ops Ramp
    • App Dynamics
    • Elastic Stack
    • Big Panda
    • AWS Cloud Watch
    • Azure Monitor
  • Implement Observability best practices, ensuring comprehensive coverage of metrics, logs, and traces across critical systems.
  • Integrate and manage Open Telemetry for distributed tracing and telemetry data collection, enabling end‑to‑end visibility of business‑critical transactions.
• Collaboration & Project Participation
  • Collaborate with application development teams to define and document observability requirements for each project or release.
  • Participate in complex initiatives, ensuring accurate and actionable monitoring and tracing are in place for every step of business‑critical workflows.
• Alerting & Escalation Process
  • Define and maintain standardized alert payloads per engineering guidelines, ensuring alerts are actionable.
  • Partner with Level 2 and Level 3 support teams to reflect process changes in monitoring dashboards.
  • Maintain and optimize thresholds, ensuring seamless escalations via Big Panda as the central alert hub.
• Dashboard Creation & Maintenance
  • Create and maintain intuitive, actionable dashboards for the Enterprise Monitoring Center and other finance teams.
  • Ensure dashboards are effectively monitored by Level 1 teams, presenting clear, actionable data that reduces MTTR.
• System Validation, Documentation & Automation
  • Develop and maintain automation scripts to enhance monitoring efficiency and improve team quality of life.
  • Proactively identify process improvements and learning opportunities; drive continuous improvement.
• Automation & Quality‑of‑Life Improvements
  • Contribute to the automation of monitoring, alerting, and operational tasks to streamline workflows and improve overall system reliability.

Education
Bachelors in Computer Science, IT, or related field.

• Experience
  Minimum 4 years in a technology organization, with ≥1 year hands‑on engineering experience in monitoring or production operations.
• Required Skills
  • Strong experience developing instrumentation and alerting for large, complex environments.
  • Expertise in ≥4 of the following:
    Ops Ramp, Grafana, App Dynamics, Elastic Stack, Influx
    
    DB, Big Panda, and other monitoring solutions.
  • Hands‑on experience with Observability concepts and frameworks, including metrics, logs, and traces.
  • Working knowledge of Open Telemetry for distributed tracing and telemetry data collection.
  • Experience with dashboard creation, alert management, and tool configuration.
  • Excellent verbal and written communication—able to present complex technical issues to both technical and non‑technical stakeholders.
  • Strong problem‑solving and troubleshooting in high‑pressure environments.
  • Ability to prioritize and manage multiple tasks in a deadline‑driven setting.
  • Proven collaboration with cross‑functional teams in large, complex IT environments.
  • Experience with scripting (e.g., Bash, Power Shell) and proficiency in one programming language (e.g., Python, C family, JavaScript).
  • Experience designing and implementing scalable, reliable monitoring solutions.
  • Experience with agile software development methodologies
  • Familiar with problem diagnosis; performance tuning; capacity planning and configuration management across the stack via continuous improvement.

• Experience querying, manipulating, and visualizing time‑series data.
• Familiarity with Infrastructure as Code tools (e.g., Ansible, Terraform).
• Strong understanding of how to create actionable, digestible…