Senior Site Reliability Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Take charge of the production infrastructure for the Userflow and Beamer SaaS platforms.

• Ensure that reliability, scalability, security, and cost-effectiveness are maintained across distinct US and EU technology stacks.

• Define, implement, and uphold Service Level Objectives for essential customer-facing workflows.

• Oversee and enhance GCP and/or AWS infrastructure, encompassing Kubernetes, networking, autoscaling, and upgrades.

• Manage ClickHouse and relational databases, focusing on replication, backups, recovery testing, and capacity planning.

• Sustain infrastructure automation using Terraform or similar tools, covering cloud resources, networking, and Cloudflare configuration.

• Take ownership of observability systems utilizing Grafana, Sentry, and related tools.

• Establish actionable alerting mechanisms and maintain visibility into the health of production systems.

• Lead on-call operations, incident response, root cause analysis, and postmortem reviews.

• Implement rate limiting, tenant isolation, and dedicated infrastructure environments tailored for enterprise customers.

• Develop and uphold dependable deployment pipelines, progressive delivery procedures, and rollback strategies.

• Monitor and enhance cloud infrastructure and AI/LLM expenditure.

• Assist with security controls, documentation, and evidence gathering for SOC 2 compliance.

• Report directly to the CTO.

• Map and document production environments, set up SLOs, implement monitoring, and structure on-call processes within the first 90 days.

• Deliver improvements in reliability or infrastructure costs and establish Infrastructure as Code, tested disaster recovery, safe deployments, and enterprise-grade tenant isolation within the first 12 months.

⛳️ Requirements

• 7+ years of experience in SRE, DevOps, Platform Engineering, or a closely related field.

• A minimum of 3 years of direct production ownership within a SaaS environment.

• Extensive hands-on experience with Google Cloud Platform (GCP) and/or AWS.

• Strong production experience in managing Kubernetes environments, including deployments, networking, scaling, and upgrades.

• Proven expertise in implementing Infrastructure as Code using Terraform or equivalent tools.

• Production experience with ClickHouse or another columnar database, in addition to PostgreSQL or MySQL.

• Experience in 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 enhancements, and make sound infrastructure decisions.

• Excellent written and verbal communication skills.

• Proficiency in English at the C1 or C2 level.

• Must 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 expertise 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 in optimizing cloud infrastructure and AI-related operational costs.

🏝️ Benefits

• Fully remote work arrangement.

• USD-based compensation determined by experience and technical expertise.

• High-impact ownership of production infrastructure across two well-established SaaS platforms.

• Direct access to and collaboration with the CTO.

• AI-driven engineering workflows.

• Autonomy in a lean engineering environment.

• Meaningful scale in supporting products that serve over 52 million end users.