[Job - 29020] Tech Lead (Java + Angular), Brazil

Job Description

We are looking for a hands-on Tech Lead to translate high-level architecture direction into scalable, maintainable software designs. Guide the engineering team to deliver high-quality, observable, and testable code aligned with product and architectural goals. The role combines system design, engineering leadership, and operational ownership, working closely with product, platform, and engineering teams.

• Advanced knowledge of Java 21 and modern JVM-based backend development
• Spring Boot 3.x ecosystem, including Spring Web (REST APIs), Spring Security (OAuth2 Resource Server), Spring Data JPA / Hibernate, and Spring Cache (Redis)
• Designing and operating RESTful APIs and event-driven architectures
• Apache Kafka (producers, consumers, consumer groups, retry strategies, DLQ patterns)
• PostgreSQL (schema design, query optimization, JPA/Hibernate mappings)
• Redis for caching and ephemeral data
• Docker and Kubernetes (Deployments, Services, Ingress, ConfigMaps, Secrets, probes, rollout/rollback strategies)
• Cloud-native environments on Google Cloud Platform (GCP), including GKE
• CI/CD pipelines and GitOps workflows, including Tekton pipelines and ArgoCD
• Observability practices, including structured logging, metrics, and monitoring
• Automated testing using JUnit 5, Mockito, and Testcontainers
  
  Required Skills & Experience - Familiarity With:
  
  
• gRPC service communication
• WebSockets for event streaming
• OAuth2 / OIDC authentication flows and JWT validation
• OPA (Open Policy Agent) for policy-based authorization
• Identity broker integrations and token validation flows
• Google Cloud services, including Cloud Logging, Cloud Monitoring, and GCS
• Helm or Kustomize for Kubernetes manifest templating
• MapStruct and Lombok in Spring-based applications
• JVM performance tuning basics
• Cloud networking fundamentals (VPC, subnets, load balancers)
  
  Required Skills & Experience - Nice To Have:
• Terraform
• mTLS implementations
  Pub/Sub messaging patterns
• gRPC streaming
• Advanced Kafka patterns (schema evolution, idempotent producers)
• Kubernetes networking concepts (CNI, Network Policies)
• Sidecar security patterns (OPA / Identity Broker)
• Contract testing
• Performance testing tools (JMeter, Gatling)

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