Senior DevOps Engineer

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer based in Brazil.** This is an opportunity to shape the infrastructure that enables modern software teams to build, deploy, and operate products at scale. You’ll own critical infrastructure across compute, networking, CI/CD, observability, and Kubernetes environments. The role combines hands-on engineering with architectural decision-making and a strong focus on developer experience. You’ll help reduce operational friction, establish reliable engineering practices, and make the easiest path the safest one. You’ll also play a key role in production incident response, using data, automation, and sound engineering judgment to solve complex problems. Working closely with cross-functional engineering teams, you’ll influence technical direction while enabling others to deliver more effectively. This is a highly collaborative, remote role suited to an engineer who enjoys ownership, continuous improvement, and practical innovation. ### Accountabilities - Design, build, operate, and continuously improve core infrastructure covering compute, networking, CI/CD, Kubernetes, and observability. - Manage Kubernetes environments at the infrastructure level, including cluster configuration, node pools, upgrades, scaling, and networking. - Develop and maintain infrastructure-as-code using Terraform or comparable technologies, ensuring infrastructure remains consistent, scalable, and maintainable. - Improve developer experience by reducing operational friction, eliminating repetitive work, and establishing intuitive, reliable engineering paths and tooling. - Lead production incident triage by analyzing logs and operational data, developing diagnostic scripts when useful, identifying root causes, and driving issues through to resolution. - Shape infrastructure architecture with an emphasis on simplicity, scalability, reliability, and ease of use for engineering teams. - Partner closely with software engineers and other stakeholders to understand technical needs and translate them into effective infrastructure solutions. - Use AI-powered tools thoughtfully to increase productivity, improve problem-solving, and help the broader engineering organization adopt effective AI-assisted workflows. - Contribute to internal platform and developer-experience initiatives that improve consistency, automation, and engineering efficiency across teams. ## Requirements - Demonstrated experience managing and operating Kubernetes or a comparable container orchestration platform, including hands-on responsibility for clusters rather than only deploying applications to them. - Strong practical experience with infrastructure-as-code, particularly Terraform or equivalent tools such as Pulumi or CloudFormation. - Solid DevOps and infrastructure engineering fundamentals, combined with strong judgment around simplicity, scalability, maintainability, and architectural trade-offs. - Proven ability to own production troubleshooting, including interpreting logs, forming hypotheses, writing scripts to investigate issues, and working effectively under operational pressure. - A combination of infrastructure/DevOps expertise and software engineering skills, particularly with Python. - Strong understanding of modern cloud infrastructure and distributed systems. - Clear and effective communication skills, with the ability to explain technical concepts and trade-offs to both engineering and non-technical stakeholders. - A proactive, collaborative mindset focused on enabling other engineers and improving the broader development ecosystem. - Genuine hands-on experience with AI tools and an interest in using them as practical productivity and engineering multipliers. - Experience with Google Cloud Platform, particularly GKE Autopilot or a comparable managed Kubernetes environment, is desirable. - Familiarity with gRPC, PostgreSQL at scale, service-oriented architectures, growth-stage infrastructure, regulated environments such as HIPAA, or internal platform/paved-path initiatives is a plus. ## Benefits - 100% remote working model. - Comprehensive company-paid medical insurance and mental health support programs. - 5 undocumented sick-leave days per year. - 20 working days of paid annual vacation, plus local public holidays. - Regular internal learning events and opportunities to develop your technical expertise. - Access to a global community of experienced technology professionals for knowledge sharing and collaboration. - Internal mobility opportunities to support career growth and the possibility of moving between projects when appropriate. - Exposure to large-scale, international projects with fast-growing clients. - Friendly and collaborative working environment with an informal culture, open communication, and regular team-building activities. - Long-term employment opportunities within a globally distributed technology organization. - Opportunities to work with modern cloud, infrastructure, automation, and AI technologies.