State Street
InfrastructureAutomationEngineer,AssistantVicePresident
“Infrastructure Automation Engineer, Assistant Vice President at State Street. Skills: Splunk, Automation, Scripting, Data Analysis, Reporting. Build and maintain Splunk searches, dashboards, and alerts to monitor infrastructure automation health, compliance signals, and operational KPIs. 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 ef”
What You'll Achieve.
reduce manual effort and improve control through automation; turning telemetry, logs, and operational data into actionable insights; deliver reliable reporting that supports security, compliance, reliability, and continuous improvement; ensure automation outcomes are measurable; metrics are trusted; insights drive prioritised remediation
Industry & Context.
Investigate anomalies, identify root causes for data gaps or metric movements, and drive remediation
What They're Looking For.
Must Have
4+ years of experience in infrastructure automation or related role, A Bachelor’s degree in Information Technology, Computer Science, Information Security, or a related field is required, 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, Experience analysing time-series/telemetry or log data and translating findings into clear insights for non-specialist audiences, 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, stakeholder management skills, with attention to detail and the ability to manage competing priorities across engineering and risk/audit partners
Nice to Have
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, Experience producing audit-ready evidence packs and traceable KPI definitions (data lineage, controls, and sign-off), Exposure to ServiceNow, CMDB, or other ITSM/asset data sources used for operational reporting, Experience integrating data sources via APIs and automating scheduled reporting (e.g., scripted extracts/transformations, report distribution, CI/CD-driven updates)
What You'll Do.
Build and maintain Splunk searches
and alerts to monitor infrastructure automation health
Automate data collection and evidence generation from infrastructure tooling (e.g.
job outcomes) using scripts and integrations
improving consistency and reducing manual reporting effort
and track data quality controls (completeness
including automated checks and exception reporting
Partner with engineers to standardise event/log formats and field extractions (CIM alignment where applicable)
improving search performance
automation observability
and report reliability
Produce recurring reporting packs and self-service dashboards for stakeholders (platform
including narrative insights
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
automation/reporting runbooks
and lineage to improve transparency and enable consistent interpretation across teams
How You'll Work.
Team & Collaboration
Work closely with platform engineers, security partners, and application teams to ensure automation outcomes are measurable, metrics are trusted, and insights drive prioritised remediation; Partner with engineers to standardise event/log formats and field extractions; Produce recurring reporting packs and self-service dashboards for stakeholders (platform, security, risk, audit); drive remediation with source-system owners and engineering teams; improve transparency and enable consistent interpretation across teams
Communication Scope
translating findings into clear insights for non-specialist audiences; narrative insights; documentation
Process & Methodology
manage competing priorities
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