SRE - Hybrid Role in São Paulo

About the role

We are looking for a Software Engineer to build and evolve engineering solutions focused on the quality, reliability, and efficiency of staging environments. The role is hands-on and turns operational and quality issues into scalable, measurable technical solutions by developing automations, tools, and processes that increase availability, traceability, and autonomy for Development and Quality Engineering teams.

Responsibilities

• Develop health checks and automations for continuous monitoring of environment and application health.
• Create mechanisms to measure availability, downtime, stability, failures, and recovery time.
• Define SLIs, SLOs, and KPIs to track the evolution of environment health.
• Build dashboards and metrics to support data-driven decisions.
• Develop synthetic tests, smoke tests, and automated validations for components and critical user journeys.
• Establish and evolve Quality Gates in delivery pipelines.
• Centralize and automate the staging deployment process, ensuring governance without creating unnecessary bureaucracy.
• Ensure deployment traceability, enabling identification of application, version, owner, date/time, pipeline, result, and other relevant information.
• Support investigation of outages and environment issues using logs, metrics, traces, and other evidence.
• Create self-service tools and automations to give developers and QEs greater autonomy.
• Identify manual and recurring activities and turn them into automation or internal engineering products.
• Work closely with Development, Quality Engineering, DevOps/SRE, and Architecture teams.

Requirements

Software Engineering

• Java, Spring Boot, REST APIs, integrations, and Git.
• Development of internal services and tools.

CI/CD and platform

• Jenkins and/or Azure DevOps.
• Pipelines, GitOps, Docker, and knowledge of Kubernetes.

Observability and reliability

• Grafana, Dynatrace, and OpenTelemetry.
• Logs, metrics, traces, health checks, SLI/SLO, and troubleshooting.

Quality

• API and E2E automation, integration testing, smoke/regression testing.
• Quality Gates and automated validation strategies.

Behavioral competencies

• Autonomy to turn operational issues into technical solutions.
• Data-driven mindset and focus on measurable results.
• Strong communication and collaboration with multidisciplinary teams.
• Internal product mindset, seeking to eliminate manual and recurring activities through automation.