This position is listed on behalf of a partner company who manages all applications and next steps. Our partner is looking for a Staff DevOps Engineer based in Brazil. This role offers the opportunity to shape and evolve cloud infrastructure DevOps practices and site reliability engineering capabilities within a global technology environment.You will design and implement scalable secure and reliable platforms that enable teams to deliver high-quality services efficiently.The position combines technical leadership automation infrastructure engineering and operational excellence.You will collaborate with cross-functional teams while driving improvements in reliability performance and engineering standards.The ideal candidate is passionate about cloud technologies automation and building resilient systems at scale.This is an opportunity to influence engineering practices mentor peers and contribute to the future of modern platform operations. ➡ Accountabilities ➡ The Staff DevOps Engineer will lead the design implementation and continuous improvement of cloud platforms infrastructure automation and reliability practices. This role requires strong technical ownership collaboration across teams and the ability to establish scalable solutions that improve service delivery and operational efficiency. Lead the design implementation and optimization of secure scalable and high-performance production platforms and services. Build and maintain resilient infrastructure solutions and deployment patterns in collaboration with engineering and product teams. Provide technical leadership and mentorship to engineers promoting engineering excellence and operational best practices. Drive automation standardization and documentation initiatives to reduce operational complexity and improve consistency. Contribute across the full platform lifecycle including architecture development deployment monitoring and optimization. Participate in a 24x7 on-call rotation to support critical services and maintain platform availability. Improve reliability through SRE practices observability incident response and continuous operational improvements. Support secure software delivery practices through automation CI/CD improvements and infrastructure governance. Collaborate with teams to implement scalable cloud solutions aligned with business and technical objectives. Requirements The ideal candidate has extensive experience in DevOps cloud infrastructure and platform engineering with a strong background in automation reliability and distributed systems. 5+ years of experience in DevOps Site Reliability Engineering platform engineering or software engineering roles. Strong hands-on experience with Kubernetes containers and large-scale container orchestration. Experience with infrastructure as code tools such as Terraform Ansible or Puppet. Strong programming skills in at least one object-oriented language combined with scripting and automation capabilities. Experience with major cloud platforms such as AWS GCP or OCI. Strong understanding of infrastructure security principles and secure engineering practices. Experience with monitoring alerting and observability tools such as Prometheus Grafana or similar solutions. Solid knowledge of networking fundamentals and distributed systems concepts. Strong Linux and/or Windows systems administration experience. Experience building and managing CI/CD pipelines and secure software delivery processes. Understanding of SRE concepts including SLIs SLOs SLAs availability observability and reducing operational toil. Experience managing Elasticsearch in production environments is highly desirable. Familiarity with technologies such as Kafka MySQL PostgreSQL Redis and networking concepts is a plus. Strong communication skills and ability to collaborate effectively in a global distributed environment. Benefits Remote work opportunity for candidates based in Brazil. Opportunity to work with modern cloud technologies and large-scale infrastructure environments. Collaborative and inclusive global work culture. Professional growth through technical leadership opportunities and knowledge sharing. Opportunity to mentor engineers and influence engineering standards and practices. Exposure to challenging projects focused on reliability scalability and innovation. ➡ How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly objectively and fairly against the role's core requirements. Our system identifies the top-fitting candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice By submitting your application you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access rectification erasure objection) at any time. #LI-CL1