Sobre este puesto de Senior Technical Consultant, Observability en Thinkahead
AHEAD is looking for a Senior Technical Consultant to help clients modernize how they observe, operate, and improve complex digital platforms. This is a hybrid consultant-architect role for someone who can lead discovery, shape strategy, design practical solutions, and help drive delivery from plan through execution.
The right candidate brings strong observability depth, a vendor-agnostic and prescriptive approach, and the ability to connect application performance, user experience, and business outcomes. You should be comfortable working across open-source and commercial observability ecosystems, guiding clients through current-state assessments, future-state roadmaps, and implementation programs that improve resilience, operational maturity, and developer experience.
Roles and Responsibilities
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Lead client discovery sessions, assessments, and workshops focused on observability, telemetry, reliability, and operational maturity.
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Define target-state observability architectures and roadmaps aligned to cloud, platform engineering, SRE, and AIOps initiatives.
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Design and guide implementation of solutions across metrics, logs, traces, dashboards, alerting, and incident workflows.
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Help clients adopt modern telemetry practices using OpenTelemetry and related open-source, cloud-native, and enterprise toolsets.
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Build or refine dashboards, alerts, service views, and operational integrations that improve visibility, context, and signal quality.
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Improve alert quality, incident triage, escalation paths, runbooks, and post-incident feedback loops by connecting telemetry to actionable operational workflows.
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Partner with engineering, platform, operations, and leadership stakeholders to align observability investments to business priorities.
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Translate observability capabilities into measurable outcomes such as improved service reliability, faster incident detection and resolution, reduced alert noise, improved user experience, and stronger platform adoption.
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Advise clients on telemetry governance, data quality, retention, cardinality, access, and cost optimization to improve signal value while reducing operational and platform waste.
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Contribute to implementation planning, solution governance, documentation, enablement, and operational handoff.
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Support adoption of modern integration patterns across observability, ITSM, incident management, collaboration, workflow, and AI-assisted operations platforms.
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Provide hands-on technical leadership where needed, including configuration guidance, implementation oversight, design validation, troubleshooting support, and quality review of delivery outputs.
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Mentor delivery teams and help build reusable patterns, accelerators, and best practices within the practice.
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Experience
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6+ years of experience in consulting, engineering, SRE, platform engineering, or operations with strong observability responsibility.
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Hands-on experience with modern observability concepts across metrics, logs, traces, alerting, service health, and incident response.
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Experience with Open Telemetry and familiarity with telemetry pipeline design, instrumentation patterns, and collection architecture.
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Working knowledge of open-source observability tools such as Prometheus, Grafana, Loki, Tempo, Mimir, Jaeger, or Elastic.
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Experience with one or more enterprise observability platforms such as Datadog, Dynatrace, Splunk, New Relic, Elastic, LogicMonitor, Honeycomb, Chronosphere, etc.
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Strong understanding of Kubernetes, containers, cloud-native architectures, and at least one major public cloud platform.
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Experience with Terraform, Helm, CI/CD pipelines, Ansible, or related automation and platform tooling.
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Solid understanding of distributed systems, modern application architectures, and operational best practices across SRE, DevOps, or ITSM environments.
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Experience defining service health models, SLIs, SLOs, alerting strategies, or reliability measurement frameworks that connect technical telemetry to operational and business outcomes.
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Ability to lead client-facing conversations, structure ambiguous problems, and translate strategy into executable workstreams.
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Demonstrated ability to operate in ambiguous client environments, identify the practical path forward, and communicate tradeoffs clearly across engineering, operations, and leadership audiences.
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Strong written and verbal communication skills with both technical and executive audiences.
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A continuous learning mindset and a collaborative approach to delivery and practice building.
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Experience operationalizing error budgets, burn-rate alerting, production readiness reviews, or reliability governance practices.
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Experience integrating observability with ServiceNow, incident management platforms, CMDB, or collaboration tools.
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Experience with telemetry cost optimization, sampling strategies, retention policies, tagging standards, cardinality management, or observability governance.
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Familiarity with platform engineering, internal developer platforms, service catalogs, golden paths, or self-service observability patterns.
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Exposure to AIOps, anomaly detection, event correlation, automated remediation workflows, or MCP-enabled integration patterns for AI-assisted operations.
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Familiarity with microservices, service mesh technologies, end-user monitoring, or digital experience monitoring concepts.
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Generalist coding or scripting experience in languages such as Python, Java, Go, JavaScript, or .NET.
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