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This role focuses on owning the reliability of two mature SaaS products serving tens of millions of users. You will report to the CTO and be responsible for establishing SLOs, managing cloud infrastructure, and leading incident responses, all while working within a lean engineering team that utilizes AI tools.
LatamCent
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The Opportunity
Two mature SaaS products, two separate stacks, US and EU regions, tens of millions of end users, and no one fully owning reliability yet. That is your seat. In 90 days you will have both environments mapped, SLOs and alerting live, and an on call rotation running, plus one measurable win on uptime or cloud spend. You report straight to the CTO, so your decisions set the standard for how a small, AI heavy team scales.
What You'll Own
SLOs for the paths customers feel first (SDK delivery, login, the product builder, AI features), backed by alerts people actually act on
Kubernetes, networking and autoscaling on GCP and/or AWS across both regions, with upgrades that land quietly and cloud plus LLM spend trending down
The data layer: ClickHouse alongside Postgres or MySQL, with replication, backups you have actually restored, and capacity that stays ahead of growth
Infrastructure as code across cloud, networking and Cloudflare, until nothing important is configured by hand
Incident leadership: rotation design, response, root cause, and the follow through that stops repeats
A release pipeline that lets the team ship several times a week, with progressive rollouts and rollbacks in minutes
Enterprise readiness: tenant isolation, rate limiting, dedicated environments, and the controls and evidence behind SOC 2
What We're Looking For
7+ years in SRE, DevOps or platform engineering, including 3+ owning production for a SaaS product
Deep hands on GCP and/or AWS
Kubernetes in production: deploys, networking, scaling, version upgrades
Terraform or an equivalent IaC tool used on real production systems
ClickHouse or another columnar database in production, plus PostgreSQL or MySQL
Experience running distributed, multi region systems and leading incidents end to end
CI/CD with progressive delivery and a proven rollback strategy
C1 or C2 English, comfortable walking engineers and executives through infrastructure tradeoffs
Nice to Have
Daily use of AI coding agents (Claude Code or similar) in infra work
Depth in the Grafana stack: Prometheus, Loki, OnCall
Hands on time in a SOC 2 or ISO 27001 audit
Operating embedded JavaScript or mobile SDKs at high volume
Tools and Stack
GCP / AWS · Kubernetes · Terraform · Cloudflare · ClickHouse · PostgreSQL / MySQL · Grafana · Sentry
Details
Location: Remote, Argentina
Time Zone: Strong overlap with US working hours required
Salary: Competitive. $90,000 - $110,000 usd yearly
Type: Full time
About the Company
A B2B software group running two established products that live inside their customers' applications: one helps users adopt software, the other delivers in app product updates. Together they reach tens of millions of end users across the US and Europe, built by a lean engineering team that works with AI tools every day.
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LatamCent

LatamCent