Reliability Engineer

1 dia atrás

Blumenau, Santa Catarina, Brasil beBeeSite Tempo inteiro US$104.954 - US$154.790
Job Description:

As a high-level professional in the field of Site Reliability Engineering, you will be responsible for designing and implementing modern SRE practices to enhance the reliability and scalability of enterprise-grade platforms. This includes adopting advanced methodologies and tools while collaborating with key stakeholders across technical and business units.

Key responsibilities include defining Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to establish reliability standards and monitor system health. Additionally, you will architect resilient production systems using methodologies like canary deployments, shadow traffic, and testing-in-production.

Incident management strategies and automation of on-call operations are also critical components of this role, aiming to minimize downtime and improve system stability. Furthermore, you will enhance observability frameworks with logging, tracing, and monitoring for real-time visibility and proactive troubleshooting.

Automation of tasks related to scalability, performance optimization, and operational processes is essential for improved efficiency. Collaboration with engineering teams is necessary to integrate SRE principles into system design and development. Strategic leadership for implementing site reliability solutions in multi-cloud, multi-tenant environments for enterprise applications is also required.

Requirements:
  • 10+ years of professional experience in SRE, DevOps, or related areas, including managing production systems.
  • Expertise in SRE practices such as SLOs, SLIs, canary testing, and incident management.
  • Proficiency with cloud technologies like AWS, Google Cloud Platform, or Azure, with hands-on experience in multi-cloud setups.
  • Background in observability tools such as Prometheus, Grafana, or ELK Stack, as well as monitoring distributed systems.
  • Skills in automation platforms such as Terraform, Ansible, or Kubernetes, enabling infrastructure-as-code adoption.
  • Familiarity with programming languages like Python, Go, or Bash for building automation solutions.
  • Strong understanding of CI/CD pipelines, containerization technologies, and orchestration frameworks.
  • Competency in system architecture for fault tolerance, redundancy, and performance optimization.
  • History of collaborating effectively with diverse stakeholders, from technical teams to executive management.
  • Background in managing enterprise-scale systems and multi-tenant platform deployments.
Nice to Have:
  • Knowledge of Generative AI platforms and integration techniques.
  • Understanding of managed database services, including Amazon RDS, Google Spanner, or Azure SQL.
  • Familiarity with security practices for enterprise platforms and multi-cloud infrastructures.
  • Background in contributing to technical roadmaps for distributed systems at scale.
  • Capability to lead initiatives involving Chaos Engineering or disaster recovery strategies.

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