[Hiring] Senior Site Reliability Engineer @LatamCent

Role Description

We are looking for a Senior Site Reliability Engineer (SRE / DevOps) to take ownership of production infrastructure across two SaaS platforms: Userflow and Beamer. You will be responsible for the reliability, scalability, security, and cost efficiency of both platforms, which operate on separate technology stacks across US and EU regions. Together, they serve more than 52 million end users, making infrastructure performance and uptime critical to the customer experience.

This is a hands-on, senior-level individual contributor role with significant autonomy and direct collaboration with the CTO and engineering team. You will establish reliability standards, strengthen infrastructure automation, lead incident response, and ensure the platforms can scale as a small engineering team continues to ship rapidly using AI-powered development tools.

We are looking for someone who can independently make technical decisions, take ownership of production environments, and balance reliability with development speed.

Qualifications

• 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, with the ability to collaborate directly with engineers and executive leadership.
• English proficiency: C1 or C2, with the ability to communicate technical decisions clearly in a distributed, international team.

Requirements

• Experience using AI coding agents such as Claude Code or similar tools for infrastructure automation and engineering workflows.
• Advanced experience with the Grafana ecosystem, including Prometheus, Loki, and Grafana OnCall.
• Previous experience supporting SOC 2 or ISO 27001 audits.
• Experience operating embedded JavaScript SDKs or mobile SDKs at scale.
• Experience managing dedicated infrastructure or isolated environments for enterprise SaaS customers.
• Experience optimizing cloud infrastructure and AI-related operational costs.

Benefits

• Work Arrangement: Fully remote.
• Hiring Region: Latin America.
• Time Zone: Must be able to maintain strong working-hour overlap with US-based leadership and engineering teams.
• Seniority: Senior individual contributor with end-to-end production ownership.
• Reporting Structure: Directly reports to the CTO.
• Compensation: USD-based, to be determined based on experience and technical expertise.

What Success Looks Like

First 90 Days:

• Map and document both production infrastructure environments.
• Establish SLOs and implement actionable monitoring and alerting.
• Put a structured on-call process in place.
• Identify and deliver at least one measurable reliability or infrastructure cost improvement.

First 12 Months:

• Both production environments are fully managed through Infrastructure as Code.
• Failover and disaster recovery processes are tested and documented.
• Safe, reliable deployments are happening multiple times per week.
• An enterprise-grade tenant isolation model is implemented.
• Infrastructure and AI-related operational costs show a measurable downward trend.
• Production reliability is consistently maintained as both platforms scale.