• Estate Assessment: Build a complete picture of the observability estate across vendors, agents, collectors, query surfaces, data volumes, and operating model, grounded in live measurement rather than questionnaires alone.
• Telemetry Analysis: Validate metric cardinality, active series, scrape target health, log volumes, trace sampling, and retention, and identify where fidelity is being lost today and why.
• Cost Modeling: Build a total cost of ownership comparison between the current state and two to three costed target states, covering vendor spend, self-managed infrastructure, data transfer and egress, and AWS Pricing Calculator estimates.
• Target Architecture: Design the AWS-native target across collection (ADOT / OpenTelemetry Collector), pipeline (Amazon Data Firehose), storage tiering (CloudWatch, S3, Amazon Managed Service for Prometheus), query surfaces (Amazon Managed Grafana, CloudWatch, Athena, OpenSearch), and alerting.
• Retention & Data Classification: Partner with Security, Legal, and Engineering to classify telemetry data and design policy-driven retention, including long-term compliance archives.
• Capability & Gap Analysis: Map current capabilities to AWS-native equivalents and make clear recommendations where no equivalent exists, such as continuous profiling.
• Performance Parity: Define and run tests that show whether the target state holds query performance, alert latency, and data fidelity against success criteria agreed with engineering leadership.
• Migration Planning & Execution: Size and sequence the migration, then lead it, including pipeline cutover, porting log transforms to OpenTelemetry, rebuilding dashboards, and deduplicating and rebuilding alerts.
• OpenTelemetry Standards: Define the OpenTelemetry conventions (semantic conventions, resource attributes, collector topology, sampling strategy) that application teams will adopt as instrumentation moves over.
• Ownership & Cost Attribution: Rebuild service ownership tagging so telemetry cost can be attributed back to the teams generating it.
• Commercial Analysis: Reconcile platform spend, analyze licensing and commit structures, and inform vendor renewal strategy with a clear, unbiased recommendation.
• Technical Leadership: Lead the TechPod as a player-coach, run the working cadence with the customer’s observability leadership, and keep the engagement light-touch on a busy internal team.
• Documentation & Readouts: Produce the assessment report, target architecture, cost model, migration plan, and executive summary, and present findings and tradeoffs to engineering leadership.

You Have

• Experience: 8+ years in SRE, DevOps, Observability, or Platform Engineering, including 4+ years owning production observability platforms and prior experience in a technical lead, staff, or principal-level role.
• Observability at Scale: Deep experience running metrics, logging, and tracing platforms at large scale (millions of active series, multiple terabytes of logs per day) and making them cheaper and more reliable over time.
• Prometheus Ecosystem: Advanced production experience with Prometheus and a long-term storage layer such as Thanos, Cortex, or Mimir, including PromQL, recording rules, remote write, and cardinality management.
• Commercial Platforms: Hands-on experience with Datadog or a comparable commercial platform, including how its pricing is built across hosts, custom metrics, log indexing, and APM.
• AWS Observability: Production experience with CloudWatch, CloudWatch Logs, Container Insights, X-Ray or Application Signals, Amazon Managed Service for Prometheus, and Amazon Managed Grafana.
• OpenTelemetry: Production experience with the OpenTelemetry Collector (or ADOT), including pipeline design, processors, tail and head sampling, and multi-backend export.
• Log Pipelines: Experience designing and operating log pipelines with Vector, Fluent Bit, Logstash, or Firehose, including transforms, routing, and tiered storage in S3.
• Kubernetes: Strong production experience with EKS or Kubernetes, including DaemonSet agent sizing, kube-state-metrics, and monitoring very large clusters.
• Infrastructure as Code: Advanced proficiency with Terraform ; experience with Terragrunt or Atmos is a plus.
• Alerting & Incident Response: Experience designing SLO-based alerting, reducing alert sprawl, and integrating with incident management tooling such as PagerDuty.
• Cost Modeling: Ability to build defensible TCO models from usage data and pricing, and to explain the assumptions behind every number.
• Automation: Strong scripting ability using Python, Go, or Bash to pull usage data, analyze telemetry, and automate migration work.
• Discovery & Assessment: Demonstrated ability to enter an unfamiliar environment, measure it directly, and produce a defensible current-state picture and recommendation in weeks rather than quarters.
• Communication: Ability to explain technical, cost, and compliance tradeoffs to engineers, Security and Legal stakeholders, and executive leadership.

Extra Awesome

• Vendor Migration: Experience migrating off Datadog, Splunk, New Relic, or similar platforms onto AWS-native or open-source observability stacks.
• Dashboards & Alerts as Code: Experience automating large-scale dashboard and alert migrations using Grafana provisioning, Grafonnet, Terraform providers, or conversion tooling.
• Grafana Ecosystem: Experience with Grafana Alloy, Beyla, or other eBPF-based instrumentation.
• Continuous Profiling: Experience with Pyroscope, Parca, or comparable profiling tools.
• Data Governance: Experience designing telemetry retention and data handling to meet SOC 2, GDPR, privacy, or similar compliance requirements.
• Analytics Platforms: Familiarity with Athena, OpenSearch, Databricks, or similar platforms used for log analytics and long-term telemetry queries.
• Consumer Scale: Experience with high-traffic B2C platforms where telemetry volume tracks tens of millions of users.
• Consulting: Experience leading assessment or discovery engagements that end in a committed, funded program of work.
• Certifications: Prometheus Certified Associate, OpenTelemetry Certified Associate, AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Professional, CKA, or similar.

• 100% Remote Workplace: We’ve been remote since Day 1!
• Unlimited Paid Time Off.
• Equity: Become a true owner of the company.
• 401K with company contribution and sponsored healthcare.
• Professional Growth: Access to training and certification programs to accelerate your career.