Staff Software Engineer, Observability

Cerebras

. Own the long-term architecture and roadmap for the observability platform across metrics, logs, traces, and events .

Posted 10/28/2026full-timeSunnyvale • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and implementing observability platforms, with a strong focus on metrics, logs, traces, and events. Proficient in leveraging OpenTelemetry and managing large-scale data ingestion and performance optimization.

Highest-signal resume keywords

Observability Platform ArchitectureOpenTelemetry InstrumentationPrometheus and Elasticsearch ExpertiseKubernetes MonitoringSoftware Engineering Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringObservability Platform DevelopmentPerformance OptimizationConcurrent Systems ProgrammingDistributed SystemsData Pipeline DesignCapacity PlanningSLO DefinitionRoot Cause AnalysisTelemetry Pipeline Design

Soft Skills

MentoringStakeholder PartnershipOperational Excellence Culture

Tools & Technologies

PrometheusThanosCortexMimirElasticsearchClickHouseLokiKubernetesGoPython

Industry Keywords

ObservabilityMonitoringHigh-Cardinality DataTime Series DataLog DataTechnical DirectionRFCsDesign ReviewsEngineering PracticesMTTR Reduction

Tech Stack

Tools & technologies

Distributed SystemsElasticSearchKubernetesPrometheusPythonGo

About the role

Key responsibilities & impact

Own the long-term architecture and roadmap for the observability platform across metrics, logs, traces, and events
Drive observability platform adoption through RFCs, design reviews, and stakeholder partnerships
Design telemetry pipelines for high-cardinality, high-frequency data from Wafer-Scale Engines, Kubernetes clusters, and storage/networking fabrics
Solve ingestion and query performance problems at scale
Partner with Engineering, SRE, Hardware, and ML Infrastructure teams to define SLOs and alerting strategies
Create tooling that accelerates root cause analysis and reduces MTTR
Surface critical hardware health signals into a unified observability layer
Design and implement OpenTelemetry instrumentation libraries and standards
Establish observability conventions across teams
Mentor senior engineers and influence engineering practices across team boundaries
Foster a culture of operational excellence

Requirements

What you’ll need

8+ years of software engineering experience
4+ years building or operating observability/monitoring platforms at significant scale
Experience with millions of active time series and petabytes of log data
Deep expertise in the open-source observability ecosystem
Experience operating, tuning, and extending Prometheus, Thanos/Cortex/Mimir, Elasticsearch/ClickHouse, or Loki
Experience with OpenTelemetry for instrumentation across a polyglot services environment
Proficiency in Go preferred
Strong experience in Python
Experience writing performant, concurrent systems code
Strong distributed systems and Kubernetes expertise
Knowledge of sharding, replication, consistency models, Kubernetes monitoring, and reliable data pipeline tradeoffs
Experience with observability cost management and capacity planning at scale
Track record of setting technical direction and driving adoption across multiple teams
Ability to translate business needs into technical strategy

Benefits

Comp & perks

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Job stability with startup vitality
Simple, non-corporate work culture that respects individual beliefs
Continuous learning, growth and support