• Design and implement solutions in Azure environments, considering availability, performance, security, cost and scalability; • Support the definition of architectural standards for infrastructure, applications and service integrations; • Create diagrams, technical documentation and architectural recommendations for new projects and evolutions; • Ensure proposed solutions are technically feasible and aligned with the operational realities of the environments. • Manage and evolve Azure resources, including virtual networks, virtual machines, load balancers, storage, firewalls, security groups and databases; • Support provisioning and maintenance of infrastructure as code, ensuring standardization, versioning and traceability; • Implement and maintain backup, disaster recovery and high-availability solutions; • Participate in the management and continuous improvement of development, staging and production environments. • Implement and maintain CI/CD pipelines with focus on automation, quality and delivery security; • Support automation of provisioning, configuration and deployment of applications and infrastructure; • Collaborate with development teams to improve build, deploy, rollback and versioning processes. • Support the maintenance and evolution of containerized environments with Docker and Kubernetes, preferably AKS; • Support the implementation and maintenance of Helm charts and deployment standards; • Contribute to improvements in resiliency, scalability and organization of workloads in Kubernetes. • Implement and maintain monitoring and observability solutions using Azure Monitor, Log Analytics, Prometheus and Grafana; • Create dashboards, alerts and health indicators to monitor environments; • Perform troubleshooting of infrastructure, applications and integrations, supporting the resolution of medium- and high-complexity incidents; • Contribute to root cause analysis and implementation of preventive improvements. • Apply cloud security best practices, including RBAC, IAM, network segmentation, encryption and access control; • Support implementation of DevSecOps practices and compliance with internal policies; • Contribute to improvements in governance, standardization and technical control of environments. • Support monitoring of cloud consumption, identifying opportunities for resource optimization; • Consider cost aspects when defining and evolving solutions, seeking a balance between robustness and financial efficiency. • Work collaboratively with development, infrastructure, operations and product teams for continuous platform evolution; • Participate in technical reviews, architecture discussions and definition of operational improvements; • Keep technical documentation, runbooks and standards up to date.

• Perform corrective and evolutionary maintenance of the School Cash system; • Develop new features according to requests from technical and business areas; • Work on both the back-end and front-end of the application; • Fix bugs, improve performance, and support acceptance testing and production processes; • Support the internalization and ongoing support of the system within an institutional environment; • Work together with the Requirements Analyst to implement prioritized requests; • Document code, APIs, and technical decisions; • Support the team with testing, versioning, and development best practices.

• Ship full-stack features end-to-end with high ownership • Use AI coding tools to accelerate development and refactoring • Build modern frontend apps and backend APIs • Connect AI/LLM systems into real product workflows • Push frequent releases and iterate quickly • Productionize AI-generated code with tests and reviews • Maintain lightweight CI, testing, and monitoring • Debug and fix production issues fast • Contribute to pragmatic architecture decisions

• Contribute production-quality code to GitLab’s product and adjacent systems. • Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. • Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. • Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. • Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. • Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. • Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. • Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. • Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. • Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. • Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. • Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. • Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. • Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. • Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. • Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. • Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. • Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability.