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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and managing service level indicators and error budgets, with a strong focus on observability using tools like Prometheus, Loki, and Grafana. Proven ability to lead incident response practices and performance engineering in production environments, particularly within B2B SaaS.
Highest-signal resume keywords
Service Level Objectives ManagementProduction Observability with PrometheusIncident Response LeadershipDatabase Performance OptimizationKubernetes Production Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Service Level ObjectivesError BudgetsObservability ToolsDatabase Performance SkillsProduction KubernetesCoding in GoPythonC#TypeScriptLoad Testing with k6
Soft Skills
Excellent Written CommunicationJudgment Under Pressure
Tools & Technologies
PrometheusLokiTempoGrafanaAzureAKSMongoDBSentryPagerDutyTemporal
Industry Keywords
B2B SaaSIncident ManagementDisaster RecoveryMulti-Region ArchitectureDORA MetricsSOC 2NIST 800-171Construction Technology
Tech Stack
Tools & technologiesAWSAzureFluxGrafanaJMeterKubernetesMongoDBPrometheusPythonTypeScriptGo.NET
About the role
Key responsibilities & impact- Define and own service level indicators, objectives, and error budgets for customer-facing services
- Build measurement pipelines and publish availability and latency against targets
- Build and own production observability, including instrumentation standards, dashboards, and actionable alerting
- Operate observability across AKS on Azure, Prometheus, Loki, Tempo, Grafana, Istio, and Flux
- Establish and run incident response practices, including on-call rotation, paging paths, severity definitions, incident ownership, escalation, and blameless post-mortems
- Define rollback and recovery standards and verify them through regular exercises
- Lead performance and capacity engineering, including query and index tuning, connection-pool sizing, capacity modeling, and graceful degradation design
- Work with the team operating k6 load, stress, spike, and soak testing
- Set endpoint latency thresholds tied to SLOs and make test results a delivery gate
- Drive production readiness reviews covering instrumentation, alerting, failure modes, resource limits, and rollback
- Track post-mortem remediation items through verified production changes
- Contribute to business continuity and disaster recovery planning, including backup/restore validation, failover design, and recovery objectives
- Coach engineering teams on instrumenting and operating their own services
- Write tooling, automation, instrumentation libraries, and production-code fixes
- Work across engineering pods, platform and security functions, and customer-facing teams
- Report to the Senior Director, Platform Engineering
Requirements
What you’ll need- 6+ years of professional engineering experience
- At least 3+ years in a dedicated SRE or production engineering role at a B2B SaaS company
- Demonstrated ownership of SLOs and error budgets in production
- Deep, practical observability skills with Prometheus, Loki, Tempo, and Grafana or comparable tools
- Hands-on incident command experience at meaningful severity
- Experience building on-call and escalation practice from the ground up
- Strong database performance skills: query profiling, index design, connection pooling, and diagnosing saturation under load
- MongoDB experience strongly preferred; comparable document or relational depth acceptable
- Production Kubernetes experience; AKS preferred
- Ability to debug pod scheduling, resource limits, networking, and service mesh behavior; Istio preferred
- Solid coding ability in at least one of Go, Python, C#, or TypeScript
- Willingness to work in a C#/.NET codebase
- Experience with load and performance testing tooling such as k6, JMeter, or Gatling
- Production experience on Azure or AWS, with understanding of managed-service failure modes
- Fluency with AI-assisted engineering tooling and a track record of designing AI-leveraged workflows
- Excellent written communication for post-mortems, runbooks, and reliability reports
- Judgment and steadiness under pressure
- Experience establishing or maturing an SRE practice preferred
- Experience with Sentry or comparable application error-monitoring platforms preferred
- Experience operating event-driven and real-time systems preferred
- Experience operating MongoDB Atlas at production scale preferred
- Experience with durable workflow orchestration such as Temporal preferred
- Background in multi-region or multi-zone architecture and DR design preferred
- Experience with incident.io, PagerDuty, or comparable incident management platforms preferred
- Familiarity with DORA metrics and reliability work inside SOC 2 or NIST 800-171 scope preferred
- Experience with legacy monolith reliability preferred
- Domain interest in MEP, BIM, AEC, or construction technology preferred
- Prior experience in a Series B/growth-stage company preferred
Benefits
Comp & perks- Comprehensive and competitive health benefits plan
- Matching 401k contributions
- 20 days annual PTO
- Primarily remote work
- Occasional annual team onsites