management
12 hours ago*
Infrastructure Automation Engineer, Assistant Vice President
at State Street
📍 London, United Kingdom·🏢 On-site
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Responsibilities
- Automate data collection and evidence generation from infrastructure tooling (e.g., scan results, inventories, job outcomes) using scripts and integrations, improving consistency and reducing manual reporting effort.
- Define, implement, and track data quality controls (completeness, accuracy, timeliness, consistency), including automated checks and exception reporting.
- Produce recurring reporting packs and self-service dashboards for stakeholders (platform, security, risk, audit), including narrative insights, trends, and recommended actions.
- Investigate anomalies, identify root causes for data gaps or metric movements, and drive remediation with source-system owners and engineering teams.
- Document data definitions, KPI logic, dashboard ownership, automation/reporting runbooks, and lineage to improve transparency and enable consistent interpretation across teams.
Requirements
- experience using Splunk for analysis and reporting, including SPL, dashboards, scheduled searches, and alerting. Hands-on scripting or automation
- experience (e.g., Python, PowerShell, Bash) to automate data collection, reporting, and operational workflows.
- Proven ability to define and improve data quality, including establishing data definitions, validation rules, and monitoring.
- Good understanding of infrastructure/operations concepts (e.g., servers, patching, configuration drift, incidents) and how metrics support reliability and compliance.
- Proficiency with Excel and at least one analysis language or tool (e.g., Python, SQL) for data preparation and validation.
- Familiarity with Git-based workflows and basic CI/CD concepts to manage and deliver repeatable automation/reporting changes.
- Strong stakeholder management skills, with attention to detail and the ability to manage competing priorities across engineering and risk/audit partners. Preferred [REQUIREMENTS] qualifications
- Experience with Splunk data onboarding (inputs, forwarders, sourcetypes), field extractions, and performance optimisation.
- Familiarity with the Splunk Common Information Model (CIM) and designing reusable, standardised data models.
- Exposure to ServiceNow, CMDB, or other ITSM/asset data sources used for operational reporting.