• Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products. • Collaborate with engineering leadership, machine learning, data science, and product partners to help shape our platform vision. • Develop and maintain tooling that improves engineering productivity and developer experience. • Promote sustainable incident response and lead blameless post-incident reviews. • Manage network and systems monitoring, design alert strategies, and participate in an equitable on‑call rotation.

• As an early Senior Full Stack Engineer, you will build internal and customer-facing services for processing customer orders and establish key design patterns/guidelines for all backend workloads. • Create new user experiences, optimize warehouse and logistics operations, and improve data insights to better serve our customers.

• Deeply understand our customers' pain points and identify opportunities for solutions. • Positively contribute to the technical development of less senior team members. • Prioritize results over technical preferences, reinforcing team autonomy. • Develop and maintain our microservices, support decision-making and deliver results with a focus on delighting the customer. • Contribute to the development and architecture of the Intelipost platform, preparing it for the company's accelerated growth. • Build a solid foundation for agile development of new products. • Monitor system availability to anticipate potential gaps, thereby increasing the solution's reliability. • Develop scalable, sustainable systems oriented to user needs.

• Desired experience with Java 11+, Spring Boot, React, TypeScript, Oracle DB, Oracle Data Integrator, MongoDB, Kafka, Amazon S3, microservices, REST APIs, Git, Jenkins, SonarQube, Consul, Vault. • Integration/communication using REST, SOAP and Kafka. • Architecture and development best practices. • Kubernetes and the Spring ecosystem (Boot, Data, Security, REST). • Concepts of unit testing, E2E testing, microservices and distributed architecture. • Observability.