G32- DevSecOps Engineer

Conteúdo da vaga extraído em seções para revisão mais rápida.

Deploy, configure, and maintain platform services on Kubernetes (EKS) environments using Helm charts.
Design and implement infrastructure configurations with a strong focus on portability across Kubernetes clusters and environments.
Build, maintain, and optimize CI/CD pipelines to support secure, automated, and repeatable deployments.
Support cloud-native infrastructure operations, monitoring, and platform reliability initiatives.

Develop and maintain backend automation tools, platform services, and custom operators primarily using Golang.
Build scalable and maintainable system-level tooling to support platform operations and deployment workflows.
Contribute to infrastructure automation and operational efficiency improvements.

Develop and enhance dashboard components and frontend features using TypeScript and pnpm.
Collaborate closely with Product Managers and UX stakeholders to implement user-facing platform improvements.
Enhance monitoring, logging, alerting, and observability capabilities across the IRM platform.
Support operational activities, incident response processes, and platform stability initiatives.

Participate actively in Agile sprint cycles, backlog grooming, code reviews, and retrospectives.
Contribute to engineering documentation including RFCs (Request for Comments) and ADRs (Architecture Decision Records).
Ensure adherence to engineering standards, operational best practices, and governance requirements.

Degree in Computer Science, Software Engineering, Information Technology, or related discipline.
Strong understanding of Linux systems, networking fundamentals, cloud-native architecture, and distributed systems.
Hands-on experience or strong familiarity with Kubernetes, containers, Docker, and Helm.
Strong proficiency in Golang for backend development, automation, and infrastructure tooling.
Experience with TypeScript and frontend development workflows.
Familiarity with CI/CD pipelines, DevOps tooling, and infrastructure automation practices.
Knowledge of monitoring, observability, and logging platforms is advantageous.

Experience working in Agile development environments with sprint-based delivery.
Ability to write clean, maintainable, well-tested, and well-documented code.
Familiarity with engineering governance practices such as code reviews, RFCs, and ADR documentation.