SRE Sênior

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SRE Sênior based in Brazil. This is a senior Site Reliability Engineering role focused on building and evolving reliable, scalable, secure, and highly automated cloud platforms. You will work closely with development teams to improve service availability, reduce operational risk, and accelerate software delivery. The role combines cloud infrastructure, Kubernetes, infrastructure as code, CI/CD, observability, automation, and DevSecOps practices. You will help establish and measure reliability standards through SLIs, SLOs, SLAs, error budgets, and incident management practices. You will also play a key role in troubleshooting, root-cause analysis, performance improvement, and preventing recurring incidents. The environment encourages continuous platform evolution, reusable engineering practices, and the strategic use of AI to increase productivity and operational efficiency. This opportunity is ideal for an experienced SRE, DevOps, or Platform Engineer who enjoys solving complex infrastructure challenges and enabling engineering teams to deliver with confidence. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SRE Sênior based in Brazil. This is a senior Site Reliability Engineering role focused on building and evolving reliable, scalable, secure, and highly automated cloud platforms. You will work closely with development teams to improve service availability, reduce operational risk, and accelerate software delivery. The role combines cloud infrastructure, Kubernetes, infrastructure as code, CI/CD, observability, automation, and DevSecOps practices. You will help establish and measure reliability standards through SLIs, SLOs, SLAs, error budgets, and incident management practices. You will also play a key role in troubleshooting, root-cause analysis, performance improvement, and preventing recurring incidents. The environment encourages continuous platform evolution, reusable engineering practices, and the strategic use of AI to increase productivity and operational efficiency. This opportunity is ideal for an experienced SRE, DevOps, or Platform Engineer who enjoys solving complex infrastructure challenges and enabling engineering teams to deliver with confidence. Accountabilities: Design, implement, and continuously evolve cloud platforms and environments with a strong focus on reliability, scalability, security, and resilience. Build, maintain, and improve CI/CD pipelines, promoting automation, consistency, and efficient software delivery practices. Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC). Administer, maintain, and evolve Kubernetes and Docker environments. Automate deployment, provisioning, configuration, and operational processes to reduce manual work and operational risk. Implement and continuously improve monitoring, observability, alerting, and reliability capabilities. Define, monitor, and evolve SLIs, SLOs, SLAs, error budgets, and other reliability indicators. Investigate incidents, troubleshoot complex technical problems, and conduct Root Cause Analysis (RCA). Identify preventive measures and improvements to reduce recurring incidents and strengthen platform resilience. Partner with development teams to promote best practices in cloud architecture, observability, performance, security, and reliability. Develop reusable platform standards, components, and engineering patterns. Continuously improve the security, resilience, and operational maturity of cloud environments. Identify opportunities for automation, operational efficiency, and reduction of repetitive manual activities. Contribute to DevSecOps and FinOps practices across the platform. Use AI-powered tools as productivity accelerators for development, automation, troubleshooting, and day-to-day operations. Requirements: Solid professional experience as an SRE, Senior DevOps Engineer, Platform Engineer, or in a closely related role. Hands-on experience managing AWS environments in production. Strong knowledge of Kubernetes and Docker. Proven experience with Terraform and Infrastructure as Code (IaC). Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins. Strong Linux administration and automation skills using Bash and/or Python. Practical experience with observability and monitoring platforms such as Prometheus, Grafana, or equivalent solutions. Experience with centralized log management and analysis using ELK, OpenSearch, or similar technologies. Solid understanding of networking, security, cloud architecture, and infrastructure automation. Experience automating infrastructure, deployment, and operational processes. Strong understanding of SRE principles, including availability, reliability, SLIs, SLOs, SLAs, error budgets, and incident management. Proven ability to work closely with development teams to identify and resolve performance, availability, and reliability issues. Mandatory: Practical experience using AI tools for software development and/or operations, such as Kiro, Claude, GitHub Copilot, ChatGPT, Cursor, or equivalent solutions. Strong problem-solving, analytical, communication, and collaboration skills. Ability to work autonomously while partnering effectively with engineering and technical stakeholders. Nice to have: Experience in the financial services industry. Nice to have: Knowledge of Open Finance/Open Banking. Nice to have: Experience with Kafka, Helm, ArgoCD, and service mesh technologies such as Istio. Nice to have: Knowledge of DevSecOps and FinOps practices. Nice to have: Experience designing and developing Internal Developer Platforms (IDPs). Nice to have: Knowledge of GitOps methodologies. Nice to have: Experience with high-availability architectures, disaster recovery, and business/service continuity strategies. Nice to have: Knowledge of capacity planning and performance optimization. Benefits: Remote work model, allowing you to work from home. Opportunity to work on cloud platforms and reliability challenges within the financial services ecosystem. Senior-level technical scope with significant influence over platform architecture, automation, reliability, and engineering practices. Opportunity to work closely with development teams and influence modern DevOps, SRE, DevSecOps, and platform engineering practices. Exposure to modern cloud-native technologies including AWS, Kubernetes, Terraform, CI/CD, observability, and GitOps. Opportunity to leverage cutting-edge AI tools to improve engineering productivity, automation, and troubleshooting. Consulting/contractor engagement model with the opportunity to contribute to strategic technology initiatives. Continuous-learning environment focused on automation, reliability, security, scalability, and operational excellence. 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