Lead Site Reliability Engineer

Hybrid in Brazil: São Paulo

Site Reliability Engineering

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We are seeking a Lead Site Reliability Engineer to become part of our team. In this position, you'll partner closely with backend developers, product managers, and fellow SREs to spot potential risks before they escalate into full-blown incidents — and when problems do surface, you'll take charge of driving the response and subsequent analysis.

Responsibilities

Architect and sustain monitoring, alerting, and observability systems, covering metrics, logs, and traces, to support debit card services
Develop and manage dashboards that display availability, latency, error rates, and other critical reliability indicators for both engineering teams and leadership
Establish and monitor Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets tied to essential debit card processes, such as authorization, settlement, card issuance, and dispute handling
Continuously oversee system health and stability, catching signs of degradation early to prevent negative effects on customers
Take part in on-call schedules, driving or contributing to incident resolution, root cause investigation, and blameless retrospectives
Team up with product and engineering groups to assess architecture from the standpoint of reliability, scalability, and resilience to failure
Streamline repetitive operational tasks through automation and custom tooling to cut down on manual toil
Perform capacity forecasting and load testing to confirm systems can handle growing transaction demands
Enhance the safety of releases by leveraging canary deployments, automated rollbacks, and progressive rollout techniques
Help develop and uphold reliability standards, runbooks, and operational documentation throughout the team

Requirements

At least 5 years of relevant experience working as a Site Reliability Engineer, DevOps Engineer, or Production/Infrastructure Engineer
A minimum of one year of experience guiding and overseeing teams
Practical experience using observability and monitoring platforms such as Grafana, Prometheus, Datadog, or comparable internal metrics systems
Solid grasp of SLOs, SLIs, error budgets, and broader reliability engineering concepts
Command of at least one programming language typically used for automation and tooling, such as Go, Python, or Java
Background working with distributed systems and awareness of common failure patterns in high-volume, low-latency settings
Working familiarity with container orchestration tools and infrastructure, including Kubernetes and Docker, plus experience with cloud or on-premises environments at scale
Exposure to incident management workflows, covering on-call duties, root cause diagnosis, and postmortem reviews
Solid scripting and automation capabilities aimed at minimizing operational toil, using languages such as Bash or Python
Practical understanding of CI/CD pipelines and secure deployment techniques, including canary releases, blue-green deployments, and rollback approaches
Strong communication abilities, capable of turning system performance data into understandable insights for technical and non-technical audiences alike
Excellent English communication skills (B2 level or higher)

Nice to have

Background working within payments, fintech, or other tightly regulated, transaction-sensitive industries
Understanding of PCI-DSS or similar financial industry compliance and security standards
Exposure to chaos engineering or fault-injection methodologies for resilience testing
Experience with database reliability topics, such as query optimization, replication, and failover, within transactional systems
Background developing or supporting internal tools and platforms designed for large-scale observability