Site Reliability Engineering (SRE)

About the company

You will work alongside talented professionals in areas such as Development, DevOps, Security, FinOps, and more, in a team that values resilience, scalability, and technical excellence. Here, you will have the freedom to experiment, innovate, and create solutions that truly make a difference for thousands of customers.

We generate impact and value with efficiency throughout the entire chain of health, beauty, and wellness clinics through our management system. More than a system, we help our customers achieve incredible results in the management journey of their clinics.

Your tasks

The SRE Specialist is responsible for ensuring the resilience, scalability, and operational efficiency of the company's services, with a special focus on applications developed in Node.js. This role involves the continuous improvement of infrastructure, process automation, implementation of observability practices, and direct collaboration with development teams to optimize the reliability of production systems.

• Be the technical lead for the Clinicorp infrastructure platform on GCP (GKE, Cloud SQL, networking, and IAM), covering multiple projects and production, staging, and development environments;
• Define and evolve SLOs and SLIs for critical services together with the squads;
• Lead incident management: structure on-call, conduct critical incidents, facilitate blameless post-mortems, and follow up on the execution of corrective actions;
• Design and evolve the observability stack (Prometheus, Grafana, Loki, Tempo, and OpenTelemetry), with actionable alerts based on symptoms;
• Maintain infrastructure as code with Terraform and the delivery flow via GitHub Actions and Argo CD (GitOps);
• Ensure the operation of managed databases, including backups, high availability, upgrades, tuning, and capacity planning;
• Support development teams in Node.js application performance, resource consumption analysis, autoscaling strategies, and caching;
• Conduct FinOps practices: cost allocation by team and service, rightsizing, commitment management, and cloud budget monitoring;
• Ensure infrastructure security and compliance, including access management, secrets management, and adherence to LGPD in the processing of health data;
• Periodically plan and test the disaster recovery strategy;

Requirements

Requirements and qualifications

• Degree in Computer Science, Software Engineering, related fields, or equivalent experience;
• Solid experience as an SRE, DevOps, or platform engineer, acting as a technical reference in critical production environments;
• Advanced experience with Kubernetes in production, preferably GKE, including cluster management, upgrades, autoscaling, and workload tuning;
• Experience with Google Cloud Platform (GCP), including IAM, VPC, Load Balancing, Cloud SQL, and managed services;
• Mastery of infrastructure as code with Terraform;
• Experience with CI/CD and GitOps (GitHub Actions, Argo CD, or similar);
• Solid experience with observability, using Prometheus, Grafana, Loki, OpenTelemetry, and distributed tracing (Grafana Tempo, Jaeger, or similar);
• Experience in implementing SLOs and SLIs and conducting critical incidents and post-mortems;
• Experience with PostgreSQL operation and tuning, including query analysis, replication, backup, and restore;
• Sufficient knowledge of Node.js and Python application runtimes to investigate performance, memory, and concurrency issues in production;
• Solid knowledge of networking (DNS, TLS, load balancing, VPN) and infrastructure security (access management, secrets, and hardening);
• Experience with FinOps practices and cloud cost management;
• Automation capability with programming and scripting (Go, Python, or Bash);
• Linux knowledge at a production troubleshooting level;
• Experience in technical leadership, including roadmap definition, documentation of decisions, and mentoring;
• Technical English.

Behavioral skills

• Proactivity and ownership in resolving critical problems;
• Ability to work in multidisciplinary teams, aligning development, infrastructure, and security;
• Strong analytical skills to identify and mitigate operational risks;
• Clear communication for efficient collaboration with other technical and non-technical teams;
• Continuous learning mindset and knowledge sharing with the team;

Differentials

• Knowledge of caching strategies (Redis, CDN) for high-performance applications;
• Knowledge of queues and asynchronous events (Pub/Sub, RabbitMQ, Kafka);
• Experience with NoSQL databases;
• Knowledge of LGPD applied to health data;
• Certifications in Kubernetes (CKA, CKAD, CKS) or cloud (GCP, AWS, Azure);
• Experience in chaos engineering and resilience testing;
• Contributions to the open-source community or active participation in SRE and DevOps events.