Diogo M.
Back-end and Systems Engineer

Skills

Spring Boot

Kubernetes

Spring

Dynamodb

Kotlin

Python

Amazon Aws

Docker Cloud

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Hire Diogo M.

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Bio

Back-end Developer with over nine years of experience, currently focused on developing nanoservices and microservices and actively participating in technical discussions and decision-making processes. Possesses solid knowledge in Kotlin and Java, with practical experience in Spring and Micronaut frameworks. Additionally, skilled in developing serverless applications using Chalice in Python.

Senior Backend Developer
9/1/2022 - Present

Structured a new business model focused on B2B with a concept called BaaS (Banking as a Service), supporting platforms Iti and PlayersBank. Served as the technical reference in the squad, responsible for elevating the technical quality of projects and team members. Conducted various ceremonies, including Tech Sessions, to bring new discussions and perspectives. Utilized Kotlin with Spring Boot for microservices development, Cucumber and Serenity for integration testing, and Terraform to code AWS infrastructure, which provided RDS (PostgreSQL - db), SQS and SNS (queues), and EKS (Kubernetes). Guided the project toward an architecture of asynchronous events and developed this under a hexagonal architecture.
Senior Backend Developer
1/1/2022 - 8/1/2022

Developed proficiency in technical structuring and contributed to key decisions involving language, stack, and architecture, significantly impacting development standards. Initially worked with a team of 8 technicians, focusing on the development of lambda nanoservices and microservices. Participated in defining the entire stack, transitioning from Python/Chalice to Kotlin/Spring. Developed integrations with suppliers by connecting orders and products from the Inventa Marketplace directly to specific ERP systems. Contributed to solutions for managing generic events and service communication, facilitating reuse by various squads.
Backend Developer Pl
1/1/2021 - 1/1/2022

Led the development of microservices emphasizing high scalability, availability, and performance, impacting millions of users. Modernized simulation systems for parcel and mortgage financing calculations, achieving a significant reduction in API response time by 1.8 seconds, reaching an average of 200ms per request and improving several key performance metrics. Developed services using Micronaut, Kotlin, and GRPC, while leveraging various AWS services including DynamoDB, SQS, and SNS.