Description

Design, implement and maintain comprehensive monitoring and alerting frameworks leveraging Splunk, Dynatrace, Grafana and Datadog to provide end-to-end observability across the platform.

•

Define and track service level objectives (SLOs), service level indicators (SLIs) and error budgets to measure and improve platform health.

•

Lead and participate in incident response, serving as a technical driver during remediation calls and coordinating with impacted and impacting technical and product teams.

•

Own and advance the root cause analysis (RCA) process — investigating incidents, documenting the sequence of events and remediating actions, and clearly identifying underlying root causes to prevent recurrence.

•

Ensure timely creation and management of incident tickets (e.g., ServiceNow) and accurate incident tracking, aging and reporting.

•

Build automation and tooling to reduce toil, improve mean time to detection (MTTD) and mean time to resolution (MTTR), and increase operational efficiency.

•

Collaborate with engineering, product and risk stakeholders to embed reliability best practices into the platform lifecycle.

What you will need to have:

•

Hands-on experience with monitoring, observability and alerting tools, specifically Splunk, Dynatrace, Grafana and Datadog.

•

Proven experience operating and supporting a large-scale enterprise platform environment.

•

Demonstrated experience with incident response and leading or contributing to root cause analysis (RCA) processes.

•

Strong understanding of reliability engineering principles, including availability, resiliency, monitoring and alerting best practices.

•

Experience with ticketing and incident management workflows (e.g., ServiceNow).

•

Excellent communication skills, with the ability to drive remediation efforts and collaborate across technical, product and risk teams.

What would be great to have:

•

Experience in financial services, payments or embedded finance environments.

•

Proficiency with scripting or programming languages for automation (e.g., Python, Go, Bash).

•

Familiarity with cloud platforms, containerization and CI/CD pipelines.

•

Experience defining and managing SLOs, SLIs and error budgets

Key Skills

Education

Bachelor’s degree