Lead multidisciplinary teams (Developers, DBAs, DevOps);
Use agile methodologies with a focus on continuous, predictable deliveries;
Plan and execute migration projects for legacy databases in production environments, handling high data volumes with minimal downtime;
Participate in modernization projects for Java systems integrated with legacy databases;
Monitor performance diagnostics (APM, logs, tracing);
Act as the technical interface with business, infrastructure and security teams.

Bachelor's degree completed;
Java / Spring Boot / Spring Cloud — strong experience with legacy systems and refactoring.
RESTful APIs / SOAP — modernization and versioning of legacy integrations.
Asynchronous communication and messaging: RabbitMQ, Kafka (desirable).
Relational databases: Oracle, PostgreSQL, SQL Server, MySQL.
Experience with migration, replication, optimization and query tuning.
NoSQL databases: MongoDB, Redis (cache and distributed persistence).
Docker / Kubernetes
Cloud (AWS or Azure) — experience using managed database services (RDS, CosmosDB, etc.).
Integrations and enterprise messaging — queues, brokers and legacy systems.
Observability: Prometheus, Grafana, ELK / OpenTelemetry.
Data security and governance: encryption, authentication, access control.
Automated testing and continuous integration: JUnit, Mockito, Testcontainers.
Version control and quality tools: Git, SonarQube, code review.
Experience with critical data migration projects.
Knowledge of ETL, data replication, data modeling and integration of heterogeneous databases.
Understanding of industrial processes and systems.
Knowledge of data governance best practices.
Familiarity with hybrid architectures (on-premises + cloud).

Important: All our positions are open to applicants with disabilities; we promote gender and racial/ethnic equity.

Technical Lead

Key skills