Mid-Level Cloud DevSecOps Analyst | AWS, GitLab, and AI | Remote

Description

We are seeking a professional to join Brivia as a partner. We are an ecosystem specialized in brand transformation, helping our clients overcome challenges in digital transformation, technology, and marketing. To achieve this, we continuously seek to expand our capabilities by engaging the best specialists across various domains. The **Brivia\_Group** wants to leverage your talent to further strengthen our digital transformation ecosystem! #### **Requirements:** We are looking for a **Mid-Level Cloud DevSecOps Analyst**, with strong expertise in AWS, GitLab, and infrastructure automation, who has experience in DevSecOps, DataOps, and practical application of AI agents in software engineering. This person will be responsible for industrializing, standardizing, and scaling CI/CD pipelines, promoting security, governance, and automation for data and infrastructure workloads. They will also serve as a technical reference for the team, disseminating best practices and guiding the secure and efficient use of AI agents throughout the development process. #### **Qualifications:** #### **Academic Background:** * Bachelor's degree completed in Computer Science, Computer Engineering, Information Systems, Software Engineering, or related fields. #### **Technical Requirements:** * Experience with AWS environments (IAM, networking, security, account segregation, and environment separation); * Hands-on experience with GitLab Self\-Managed (CI/CD, Runners, Templates, Protected Variables, and Approvals); * Experience building and evolving CI/CD pipelines; * Solid knowledge of DevSecOps and Shift\-Left security practices; * Experience managing secrets, code quality, and deployment governance; * Proficiency in Infrastructure as Code, preferably Terraform; * Experience with Docker, registries, artifact versioning, and build/deploy automation; * Practical experience using AI agents in engineering (e.g., Claude Code, Amazon Bedrock, GitLab Duo, Cursor, Continue, or similar); * Ability to craft technical prompts, critically review AI-generated outputs, and guide teams on best practices for AI usage; * Experience working in highly governed, audited, and compliant environments; * Experience defining repository standards, branching strategies, merge requests, and environment promotion workflows; * Knowledge of pipeline observability (logs, metrics, alerts, and execution evidence). #### **Nice-to-Have:** * Experience with DataOps using dbt, Airflow, AWS Glue, Athena, Data Lineage, data quality testing, and data contracts; * Familiarity with security tools such as SonarQube, Trivy, Checkov, tfsec, Semgrep, and Snyk; * Experience with Kubernetes (EKS), Helm, and GitOps; * Knowledge of FinOps, tagging strategies, and cloud cost optimization; * Experience with AWS Secrets Manager or HashiCorp Vault; * Certifications in AWS, Terraform, Kubernetes (CKA/CKAD), or DevSecOps; * Understanding of scalable solution architecture and corporate environment automation. #### **Additional Information:** * Engagement model: **PJ** (valid CNPJ required); * Personal equipment; * Work mode: **100% remote**; **Join a dynamic ecosystem and be part of the market revolution!**