Senior Site Reliability Engineer

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🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 23%

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LatamCent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

LatamCent is a staffing and recruiting firm that specializes in connecting companies in the USA with top talent from Latin America. They focus on building remote and nearshore teams for various functions including sales, marketing, and IT, leveraging their expertise to help organizations recruit, hire, and retain the top 1% of talent in the region. With a commitment to providing high-quality candidates quickly, LatamCent helps businesses reduce hiring times and costs while enhancing their workforce with skilled professionals.

📋 Description

• 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

• 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

• 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

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