Description

🔥 Senior C# .NET Backend & Cloud Engineer | Azure Expert | Azure Logic Apps | Azure DevOps | Power Platform Automation

I am a Senior Software Engineer specializing in high-performance backend development, event-driven systems, and scalable cloud architectures on Azure. I build reliable, secure, and optimized platforms using C#, .NET, RabbitMQ, Kafka, Azure Functions, Logic Apps, SQL, Cosmos DB, Redis, and modern DevOps tooling.

I deliver production-ready solutions with strong focus on performance, automation, and maintainability.

⭐ What I Do

Build high-load backend services with C#, .NET, ASP.NET Core

Design event-driven microservices (RabbitMQ, Kafka, Service Bus, Event Hub)

Develop serverless apps with Azure Functions & Logic Apps

Automate infrastructure using Terraform, Bicep, Azure DevOps, PowerShell

Create CI/CD pipelines (Azure DevOps, GitHub Actions)

Optimize databases (MS SQL, PostgreSQL, Cosmos DB, MongoDB)

Implement high-speed caching with Redis

Build workflows and business automation using Power Platform / Power Automate

Set up monitoring & observability: Azure Monitor, Metrics, Log Analytics, App Insights

🚀 Why Clients Work With Me

10+ years experience delivering enterprise solutions

Deep expertise in Azure, DevOps, performance tuning, distributed systems

Strong background in CRM, SaaS, industrial and corporate platforms

End-to-end ownership: architecture → implementation → automation → monitoring

Clean communication, fast delivery, reliable results

🔧 Tech Stack

C#, .NET, ASP.NET Core, RabbitMQ, Kafka, Azure Functions, Logic Apps, Power Platform, Azure DevOps, Terraform, Bicep, PowerShell, MS SQL, PostgreSQL, Cosmos DB, Redis, Docker, CI/CD, Event-Driven Architecture

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Barcelona (up to 50km), Madrid (up to 50km), Andorra (up to 50km)

RedBull
Senior Cloud Integration Engineer
February 2024 - Today (2 years and 4 months)
Austria
Cloud & DevOps Engineer – Azure | Infrastructure as Code | Automation | Observability

I design and automate cloud-native, event-driven, and highly reliable infrastructures on Azure using Terraform, Azure DevOps, PowerShell, and a full suite of Azure services. I focus on performance, scalability, and operational excellence through end-to-end observability and optimized cloud architectures.

Key Responsibilities & Achievements

Provisioned and managed Azure infrastructure using Terraform, Bicep, and modular IAC designs to ensure consistent, repeatable, and production-ready environments.

Implemented complete CI/CD pipelines in Azure DevOps, integrating build, test, security scanning, infrastructure deployment, and zero-downtime application releases.

Developed automation scripts using PowerShell, streamlining deployments, environment creation, configuration updates, and operational tasks across distributed cloud services.

Designed and built serverless solutions using Azure Functions, enabling scalable event-driven processing, scheduled tasks, and integration workflows.

Created complex workflows with Azure Logic Apps, integrating external API endpoints, Azure services, and enterprise connectors in a cost-efficient and maintainable way.

Optimized caching and performance using Azure Redis Cache,

Configured full observability pipelines, including:

Azure Monitor for real-time health monitoring

Azure Metrics for performance and capacity analysis

Log Analytics for log aggregation and KQL-based insights

Developed automated alerting systems, enabling proactive detection of anomalies, performance degradation, and resource overutilization.

Optimized cloud cost, performance, and reliability, introducing autoscaling, right-sizing, and improved monitoring to prevent regressions and SLA violations.

Tech Stack

Azure DevOps, Terraform, Bicep, Azure Functions, Azure Logic Apps, Azure Monitor, Azure Metrics, Azure Log Analytics, Application Insights, Key Vault, Service Bus
Logic Apps Redis Observability Azure Service Bus Azure Functions
Valtech - Domino's Pizza
Senior .NET Core Developer
February 2022 - January 2024 (1 year and 11 months)
United Kingdom
• • Developed the back end using .NET Framework; Provided code reviews using Azure DevOps, Deployment on Argo CD.
• • Integrated with a third-party ecommerce solution: "Commerce Tools"; Created System Specifications Documents.
• • Worked on SQL performance optimization; Was responsible for mentoring new employees.
• • Developed unit tests, integration and automation tests using Spec Flow and Fluent Assertions, NSubstitute, MOQ, XUnit.
• • Participated in User Story Planning and refinement activities; Provided planning and estimation.
TenForce
Software Development Engineer
MECHANICAL ENGINEERING
April 2020 - January 2022 (1 year and 9 months)
Belgium
Key Responsibilities & Achievements

Designed and implemented event-driven microservices using C#/.NET integrated with RabbitMQ and Kafka, enabling scalable asynchronous communication across distributed systems.

Developed high-performance APIs and background services capable of processing thousands of messages per second, ensuring resilience through retry policies, DLQs, and horizontal scaling.

Built robust CQRS and DDD-based services, separating read/write workloads for maximum throughput and system clarity.

Optimized MS SQL and Cosmos DB data models, including partitioning, indexing strategies, and query performance improvements that significantly reduced response times.

Implemented streaming and message processing pipelines, using Kafka Topics, consumers, and producers to support real-time workflows.

Designed Azure-based architectures, leveraging Functions, Logic Apps, App Services, Service Bus, Event Hub, API Management, and Application Insights for monitoring and telemetry.

Created automated CI/CD pipelines in Azure DevOps with zero-downtime deployment strategies and environment-as-code (Terraform/Bicep).

Integrated distributed caching (Redis) to improve read performance and reduce database load.

Set up observability dashboards with Azure Monitor, Log Analytics, and Application Insights, enabling end-to-end system visibility and fast incident resolution.

Ensured system reliability through automated tests (unit, integration, contract tests), performance/load testing, and fault-injection scenarios.