Managing Engineer - Observability, Pipeline & Analytics (Hybrid)

Responsibilities: 

• Lead and develop a team of engineers responsible for enterprise observability pipelines, telemetry routing, and analytics platforms. 

• Define and execute the strategic roadmap for Cribl, ADX, telemetry governance, logging strategy and observability data architecture. 

• Lead organizational transformation from service-oriented operations to product-oriented engineering excellence practices, establishing outcome-based planning, customer engagement models and product performance measures. 

• Own enterprise-scale ingestion, transformation, enrichment, routing, retention, and analytics capabilities supporting multiple of technology assets. 

• Establish engineering standards, design patterns, and platform guardrails for telemetry collection and observability data management. 

• Drive adoption of metadata-driven routing, schema normalization, data classification, and governance across enterprise logging ecosystems. 

• Build highly resilient, scalable, and cost-efficient telemetry pipelines capable of handling large-scale operational and platform data. 

• Lead architecture reviews and provide technical direction for onboarding applications, infrastructure platforms, cloud services, and emerging technologies. 

• Partner with SRE, Platform Engineering, Security, Services, and Product teams to improve reliability, observability maturity, and operational insights. 

• Implement automation-first self-service operational practices using Infrastructure as Code, CI/CD, APIs, and policy-driven platform management to reduce onboarding friction. 

• Define and measure platform KPIs including ingestion reliability, data quality, latency, availability, scalability, platform adoption, and cost efficiency. 

• Drive AI-enabled observability initiatives leveraging telemetry intelligence, anomaly detection, root cause analytics, automation, and operational insights. 

• Manage vendor relationships and technical partnerships across observability, analytics, security, and cloud platform ecosystems. 

• Provide executive-level communication, roadmap updates, and operational health reporting to senior leadership. 

• Lead incident response efforts for critical telemetry services and ensure continuous improvement through post-incident learning and resiliency engineering. 

• Establish telemetry cost transparency, chargeback / show back models and optimization strategies that maximize business value while controlling platform spend. 

• Coach engineers and technical leads while fostering a culture of ownership, innovation, automation, engineering excellence, and customer focused approaches. 

Essential Skills: 

• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. 

• A minimum of 3 years' experience with Cribl Stream, Cribl Edge, Azure Data Explorer (ADX), or equivalent large-scale telemetry platforms. 

• A minimum of 2 years experience leading enterprise observability, telemetry, logging, or analytics platform engineering teams. 

• Hands-on expertise designing and operating large-scale observability pipelines in complex enterprise environments and strong knowledge of observability principles including logs, metrics, traces, events, monitoring, alerting, and distributed systems. 

• Strong knowledge of observability principles including logs, metrics, traces, events, monitoring, alerting, and distributed systems. 

• Experience with cloud-native architectures across Azure, AWS, GCP, and hybrid infrastructure environments. 

• Strong understanding of engineering operational excellence including availability, resiliency, performance, security, and disaster recovery along with proficiency with automation, Infrastructure as Code, API-driven engineering, and platform engineering practices. 

• Experience working with the team in developing and consuming APIs, event-driven architectures, integration frameworks and proven ability to lead large-scale platform modernization, migration, and transformation initiatives. 

Desirable Skills: 

• Experience implementing telemetry cost optimization and data reduction strategies at enterprise scale. 

• Knowledge of Kusto Query Language (KQL) and large-scale analytics platforms. 

• Experience with Cribl, ADX, Datadog Pipelines, Splunk, Sentinel, Kafka, Event Hubs, Open Telemetry, Elastic, Grafana, or similar observability ecosystems. 

• Ability to leverage AI assisted development tools (e.g., Copilot, Cursor) responsibly to improve developer productivity and code quality.  

Supervisory Responsibilities: 

This role does have supervisory duties.  

Posting date: Friday 4th September 2026 [11.59pm] 

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