Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field
8+ years of hands-on experience in software, platform, or infrastructure engineering, with a track record of leading enterprise-scale platform rollouts
Strong full-stack engineering skills, including proficiency in Python and modern web frameworks (React, NextJS, or equivalent)
Experience designing, deploying, and managing cloud-based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands-on experience operating and troubleshooting production systems; deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale
Experience leading complex deployments, guiding architectural decisions, and driving delivery standards across engagements in multi-stakeholder environments
Strong experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm), contributing to scalable delivery automation
Strong understanding of data architectures and platform design, including hands-on experience with relational databases (e.g., PostgreSQL) and familiarity with graph databases (e.g., Neo4j), alongside data pipelines and system integration patterns
Experience with AI-native platform concepts, including model integration patterns, agentic architectures (tool calling, prompt orchestration, multi-agent workflows), and data pipelines that support AI-driven applications is a plus
Strong problem-solving skills with a structured approach to debugging and resolving issues in complex, non-standard environments, including operating and troubleshooting distributed systems in production
Experience with DevSecOps, infrastructure security, and networking fundamentals (e.g., IAM/SSO, RBAC, secrets management, VPNs, DNS, load balancing); experience with delivery standards, runbook development, and automation frameworks is a strong advantage
Familiarity with observability, monitoring, and compliance practices, and experience working in secure or regulated environments is preferred
Willingness to travel
Ability to communicate effectively in client-facing settings, including leading technical discussions, facilitating workshops, and presenting to senior stakeholders
Strong verbal and written communication skills in English and Portuguese
