Victor Rodriguez

JavaScript

My primary language for building modern, performant web applications end-to-end — from complex front-end interactions to lightweight server-side logic.

I use Angular as my main SPA framework, building fully componentized UIs with a focus on reusability, scalability, and clean separation of concerns. My approach to front-end architecture prioritizes maintainability and long-term team productivity.

• Angular — component architecture, RxJS, lazy loading, NgRx
• TypeScript for strong typing across the full stack
• ES2022+, async/await, performance-conscious patterns

Java

Extensive experience in backend development with Java, designing and building systems that scale reliably in production environments.

I have hands-on experience architecting distributed microservices, coordinating inter-service communication, managing distributed state, and ensuring resilience across complex service meshes. I work with Spring Boot and Spring Security for production-ready APIs.

• Distributed microservices architecture
• RESTful APIs, event-driven systems
• Spring Boot, Spring Security, JWT, OAuth2
• Java 17+, clean architecture, SOLID principles

Cloud

Experience deploying and operating applications in cloud environments, with a focus on reliability, cost efficiency, and scalability.

I have worked with AWS across multiple projects, leveraging its managed services to reduce operational overhead and build resilient infrastructure for production workloads.

• AWS — EC2, S3, Lambda, RDS, DynamoDB, API Gateway
• Infrastructure as Code (CloudFormation, basic Terraform)
• Cloud-native architecture patterns

CI/CD

Strong background in continuous integration and continuous delivery pipelines, enabling teams to ship faster and with greater confidence.

I have designed and maintained CI/CD workflows using Jenkins, automating build, test, and deployment stages across multiple environments — from development to production.

• Jenkins — pipeline configuration, multibranch workflows
• Automated testing gates & quality checks
• Deployment automation across dev, staging, and production

Databases

Comfortable working with both relational and non-relational databases, choosing the right storage strategy based on the problem at hand.

Relational: I have production experience with Oracle and MySQL — schema design, query optimisation, indexing strategies, and managing migrations in live systems.

Non-relational: I have worked with DynamoDB (AWS) for high-throughput, key-value workloads, and MongoDB for document-oriented data models requiring flexible schemas.

Metrics & Monitoring

Shipping code is only half the job — knowing how it behaves in production is the other half. I have experience setting up and using observability tooling to keep applications healthy and catch issues before they reach users.

I have worked with Datadog to monitor application performance, track error rates, set up dashboards, and configure alerts that give teams real visibility into their systems in real time.

• Datadog — APM, logs, dashboards, monitors & alerts
• Key metrics: error rates, latency, throughput, saturation
• Proactive incident detection and root cause analysis