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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Site Reliability Engineering, focusing on production reliability, operational excellence, and automation. Proficient in monitoring, incident response, and performance engineering to enhance service health and availability.
Highest-signal resume keywords
Site Reliability EngineeringMonitoring And ObservabilityAutomation And Software EngineeringAWS And Kubernetes ExperienceSLIs And SLOs Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoJavaJavaScriptTerraformCI/CD PipelinesDistributed TracingAPMIncident ResponsePerformance Engineering
Soft Skills
Excellent Communication SkillsTechnical LeadershipMentoring
Tools & Technologies
DatadogKubernetesAWSGenerative AI Tools
Certifications & Qualifications
BS Or MS In Computer Science
Industry Keywords
Production EngineeringOperational ReadinessError BudgetsOperational Health MetricsMulti-Tenant Environment
Tech Stack
Tools & technologiesAWSCloudJavaJavaScriptKubernetesPythonTerraformTypeScriptGo
About the role
Key responsibilities & impact- Partner with application engineering teams to design, build and operate reliable, scalable and resilient production services
- Work across application and infrastructure stacks to resolve reliability, performance and operational issues
- Establish and drive SRE best practices, including SLIs/SLOs, error budgets, operational readiness reviews and production reliability standards
- Develop and maintain an SRE scorecard measuring service health, availability, resilience, observability, deployment quality and operational maturity
- Reduce MTTD, MTTA and MTTR through telemetry, automation, diagnostics and incident-response improvements
- Own and evolve monitoring and observability across metrics, logs, traces, APM, database monitoring, real-user monitoring and synthetic testing
- Improve end-to-end visibility across application requests, infrastructure, databases, dependencies and customer-impacting symptoms
- Lead and participate in incident response and ensure post-incident actions produce measurable reliability improvements
- Eliminate operational toil through automation, self-service capabilities, standardized tooling and platform improvements
- Improve alert quality through actionable alerts, ownership, escalation paths, runbooks and automated remediation
- Conduct capacity planning, performance engineering, failure-mode analysis and resilience testing
- Define production-readiness requirements covering monitoring, alerting, scaling, security, rollback, backup and disaster recovery
- Improve deployment safety through progressive delivery, automated validation, health checks and rollback mechanisms
- Provide technical leadership, mentoring and practical guidance to engineering teams
- Communicate reliability risks, operational trends and improvement priorities to stakeholders
- Participate in on-call rotations and restore and repair service-impacting issues
Requirements
What you’ll need- BS or MS in Computer Science (or equivalent diplomas and/or certifications) with 8+ years of relevant experience
- Strong experience in Site Reliability Engineering, production engineering, platform engineering or a comparable role supporting large-scale, distributed, customer-facing applications, ideally in a multi-tenant environment
- Ability to troubleshoot across application code, APIs, containers, Kubernetes, cloud infrastructure, networking, databases and third-party dependencies
- Experience operating production workloads in AWS and Kubernetes-based environments
- Hands-on experience with monitoring, logging, distributed tracing and APM; deep practical expertise with Datadog required
- Experience defining and implementing SLIs, SLOs, error budgets, reliability scorecards and operational health metrics
- Experience diagnosing application latency, resource contention, database performance, dependency failures and complex distributed-system behavior
- Strong automation and software-engineering skills using Python, Go, Java, JavaScript/TypeScript or similar
- Experience with infrastructure as code, including Terraform, CI/CD pipelines, configuration management and automated deployment practices
- Ability to independently identify reliability gaps, prioritize improvements and drive initiatives through completion
- Excellent written and verbal communication skills
- Willingness to participate in an on-call rotation
- Active use of Generative AI tools and coding agents
Benefits
Comp & perks- Excellent PTO program
- Great health benefits
- Remote work
- Leadership team invested in personal and professional growth
- Inclusive, casual and friendly work environment
