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Senior Platform Engineer
WeightWatchersSenior Platform Engineer creating observability architecture and improving incident response at WeightWatchers. Collaborating with teams to implement logging, metrics, and tracing solutions for cloud services.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in observability domains such as metrics, logging, and tracing, with a strong focus on architecting and implementing modern observability stacks. Proficient in Infrastructure-as-Code practices and comfortable making architectural decisions in complex environments.
Highest-signal resume keywords
5+ Years In SREDeep Expertise In Observability DomainsAgent Configuration And InstrumentationInfrastructure-as-Code (Terraform, CloudFormation)AWS And Containerized Environments
ATS Keywords
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Hard Skills
MetricsLoggingTracingAPMMonitoring SystemsOpen-source Observability StackKafkaRDSSystems ThinkingArchitectural Decision Making
Soft Skills
Strong Problem Solving
Tools & Technologies
New RelicDatadogOpenTelemetryPrometheusELKGrafanaJaegerEKSDocker
Industry Keywords
Platform EngineeringInfrastructure RoleMonitoring/Alerting SystemsChaos To Clarity
Tech Stack
Tools & technologiesAWSDockerGrafanaKafkaPrometheusTerraform
About the role
Key responsibilities & impact- design logging, metrics, and tracing patterns that the entire engineering organization depends on
- reduce toil, surface actionable signals, and turn chaos into clarity
- report to Head of Platform Engineering as an individual contributor
- architect and implement a modern observability stack
Requirements
What you’ll need- 5+ years in SRE, platform engineering, or similar infrastructure role
- Deep expertise in at least one observability domain (metrics, logging, tracing, or APM)
- Experience with agent configuration and instrumentation (New Relic, Datadog, OpenTelemetry, or equivalent)
- Track record of building (not just maintaining) monitoring/alerting systems
- Comfortable making opinionated architectural decisions with incomplete information
- Strong systems thinking—you understand tradeoffs between managed vs. open-source, complexity vs. coverage.
- AWS and containerized environments (EKS, Docker)
- Infrastructure-as-Code (Terraform, CloudFormation)
- Kafka or async message queues (understanding log/metric pipeline architecture)
- RDS experience (database monitoring, slow query logs)
- Open-source observability stack (Prometheus, ELK, Grafana, Jaeger)
Benefits
Comp & perks- comprehensive benefits package
- annual bonus program