• Monitorar ambientes e aplicações, realizando troubleshooting e análise de incidentes para garantir a rápida identificação e resolução de problemas críticos; • Implementar, evoluir e disseminar boas práticas DevOps, promovendo a integração e colaboração entre os times de Desenvolvimento e Infraestrutura; • Definir, implementar e otimizar pipelines de CI/CD, automatizando processos de build, testes e deploy; • Administrar e apoiar a sustentação de ambientes conteinerizados, garantindo disponibilidade, desempenho e escalabilidade das aplicações; • Atuar na automação de processos operacionais e de infraestrutura, contribuindo para maior eficiência e confiabilidade dos ambientes; • Apoiar os times de desenvolvimento durante todo o ciclo de entrega das aplicações, desde a homologação até a produção; • Participar ativamente de iniciativas de melhoria contínua, propondo soluções que aumentem a qualidade, segurança e agilidade dos processos de desenvolvimento e entrega de software.

• Design and build automated cloud infrastructure for Syniti-hosted SaaS workloads across Azure and AWS. • Implement and manage CI/CD pipelines using GitHub Actions and ArgoCD GitOps workflows for multi-environment deployments (dev, preprod, prod, GovCloud). • Develop and maintain Terraform modules for infrastructure provisioning, including EKS/AKS clusters, Aurora PostgreSQL, Redis, OpenSearch, and S3/Azure Storage. • Integrate and maintain observability frameworks (Prometheus, Grafana, Loki, Mimir, Jaeger) and enforce structured logging of application, audit, and security events. • Support and extend Istio service mesh configurations including mTLS policies, AuthorizationPolicies, and SPIFFE-based workload identity. • Implement and maintain supply chain security controls: container image signing (Cosign), SBOM generation (Syft), provenance attestation (SLSA), and vulnerability scanning (Trivy, Inspector, Snyk). • Collaborate with security teams to meet FedRAMP High, Cyber Essentials+, NIST 800-53, and SecNumCloud control objectives across Azure and AWS environments. • Provide L3 incident response and lead root cause analysis efforts for application-tier outages across the Northstar platform. • Support the automated compliance gate (11 controls: NAC, FIPS, STIG, IRSA, SAST, DAST, SBOM, Sign, Vuln, Audit, Auth) and ensure application services pass all gates. • Manage Kubernetes workload autoscaling (Karpenter, KEDA, HPA) and pod security policies (Kyverno) for production services.

• Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. • Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. • Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. • Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. • Develop full-stack applications that power internal AI products and infrastructure with Go or Python.

• Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. • Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. • Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. • Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. • Develop full-stack applications that power internal AI products and infrastructure with Go or Python.