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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in managing production infrastructure across SaaS platforms, with a strong focus on reliability, scalability, and security. Proficient in implementing Infrastructure as Code and maintaining observability systems to ensure optimal performance and compliance.
Highest-signal resume keywords
Google Cloud Platform (GCP)AWS Infrastructure ManagementKubernetes ManagementInfrastructure as Code (Terraform)Observability and Incident Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Infrastructure OwnershipService Level Objectives (SLOs)ClickHouse Database ManagementCI/CD Deployment AutomationCapacity PlanningRate Limiting ImplementationDisaster Recovery TestingMonitoring and AlertingCloud Cost OptimizationSecurity Controls for SOC 2 Compliance
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationTechnical Risk AssessmentPrioritization of Reliability Improvements
Tools & Technologies
TerraformGrafanaSentryCloudflarePrometheusLokiGrafana OnCall
Industry Keywords
SREDevOpsPlatform EngineeringSaaS EnvironmentMulti-Region Production EnvironmentsSOC 2 ComplianceISO 27001 Audits
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformGrafanaJavaScriptKubernetesMySQLPostgresPrometheusTerraform
About the role
Key responsibilities & impact- Take ownership of production infrastructure across the Userflow and Beamer SaaS platforms
- Ensure reliability, scalability, security, and cost efficiency across separate US and EU technology stacks
- Define, implement, and maintain Service Level Objectives for critical customer-facing workflows
- Own and evolve GCP and/or AWS infrastructure, including Kubernetes, networking, autoscaling, and upgrades
- Manage ClickHouse and relational databases, including replication, backups, recovery testing, and capacity planning
- Maintain infrastructure automation using Terraform or similar tools, including cloud resources, networking, and Cloudflare configuration
- Own observability systems using Grafana, Sentry, and related tools
- Establish actionable alerting and maintain visibility into production health
- Lead on-call operations, incident response, root cause analysis, and postmortems
- Implement rate limiting, tenant isolation, and dedicated infrastructure environments for enterprise customers
- Build and maintain reliable deployment pipelines, progressive delivery processes, and rollback mechanisms
- Monitor and optimize cloud infrastructure and AI/LLM spending
- Support security controls, documentation, and evidence collection for SOC 2 compliance
- Report directly to the CTO
- Map and document production environments, establish SLOs, implement monitoring, and structure on-call processes during the first 90 days
- Deliver reliability or infrastructure cost improvements and establish Infrastructure as Code, tested disaster recovery, safe deployments, and enterprise-grade tenant isolation within the first 12 months
Requirements
What you’ll need- 7+ years of experience in SRE, DevOps, Platform Engineering, or a closely related role
- At least 3 years of direct production ownership within a SaaS environment
- Deep hands-on experience with Google Cloud Platform (GCP) and/or AWS
- Strong production experience managing Kubernetes environments, including deployments, networking, scaling, and upgrades
- Proven experience implementing Infrastructure as Code using Terraform or equivalent tools
- Production experience with ClickHouse or another columnar database, alongside PostgreSQL or MySQL
- Experience operating distributed and multi-region production environments
- Strong understanding of observability, monitoring, alerting, and incident management
- Solid CI/CD experience, including deployment automation, progressive rollouts, and rollback strategies
- Ability to independently assess technical risks, prioritize reliability improvements, and make sound infrastructure decisions
- Strong written and verbal communication skills
- English proficiency at C1 or C2 level
- Must be able to maintain strong working-hour overlap with US-based leadership and engineering teams
- Preferred: experience with AI coding agents such as Claude Code or similar tools
- Preferred: advanced experience with Grafana, Prometheus, Loki, and Grafana OnCall
- Preferred: experience supporting SOC 2 or ISO 27001 audits
- Preferred: experience operating embedded JavaScript SDKs or mobile SDKs at scale
- Preferred: experience managing dedicated infrastructure or isolated environments for enterprise SaaS customers
- Preferred: experience optimizing cloud infrastructure and AI-related operational costs
Benefits
Comp & perks- Fully remote work arrangement
- USD-based compensation determined based on experience and technical expertise
- High-impact ownership of production infrastructure across two established SaaS platforms
- Direct access to and collaboration with the CTO
- AI-driven engineering workflows
- Autonomy in a lean engineering environment
- Meaningful scale supporting products serving more than 52 million end users