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We are looking for an Observability Engineer to support the implementation and adoption of Dynatrace, working closely with teams across Front Office Support, IT, Data, and Architecture. This role is to support the cross-department Observability programme to deliver real-time monitoring, alerting, and remediation across critical trading and data infrastructure. Following a successful proof of concept, Dynatrace has been selected as the enterprise observability platform and will be rolled out across the organisation during 2026.
Job Responsibility:
Support the rollout and configuration of Dynatrace, including deployment of OneAgents and monitoring configuration
Work with engineering and architecture teams to translate system architecture and data flows into monitoring and alerting solutions
Implement and support OpenTelemetry instrumentation across key applications
Leverage expertise in Dynatrace to set up and configure solution and create robust documentation on end-to-end processes
Define and monitor system metrics and service level indicators (SLIs)
Perform root cause analysis across distributed systems using platform and application logs
Encourage and enable the adoption of observability tools to drive product enhancements and promote more reliable infrastructure
Produce documentation and help establish observability standards and best practices
Collaborate with teams to implement logging, monitoring, and data quality metrics across core systems
Requirements:
Hands-on experience with Dynatrace, including OneAgent deployment and configuration
Experience investigating issues in complex distributed systems
Experience leveraging OpenTelemetry to deliver monitoring, debugging or system performance reporting
Familiarity with SLIs and system performance monitoring
Experience working with cloud and on-premise environments
Strong analytical and problem-solving skills
Experience using SQL and Python for analysis
Nice to have:
Experience with data orchestration tools (Dagster preferred)
Experience supporting monitoring for data platforms or distributed applications