Senior .Net Engineer

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. At the core of the role You will join a FinTech project focused on financial services, built around a modern, distributed architecture. The platform uses an event-sourcing and microservice-oriented approach, supporting scalable and reliable processing of financial data and business events. Core skills you’ll bring 10+ years of software development experience, with a strong focus on systems engineering. Strong proficiency in C# and .NET. Proven experience designing and building APIs and backend services. Solid experience with distributed messaging systems and event-driven architectures. Hands-on experience with Pulsar, Kafka, or RabbitMQ, including event streaming and event sourcing patterns at scale. Experience implementing financial calculations, pricing engines, or quantitative models. Experience working with NoSQL databases, particularly MongoDB. Familiarity with telemetry, monitoring, and observability tools such as Sentry, Datadog, or Elasticsearch. Experience building and scaling component libraries or design systems. Experience using AI-assisted development tools, such as GitHub Copilot, Claude, or similar solutions. Strong communication skills and proven experience collaborating across different teams and functions. Proactive ownership mindset, with end-to-end accountability for deliverables from technical design through production deployment. T-shaped and product-oriented mindset, with genuine curiosity and willingness to work across the technology stack to deliver complete, customer-facing features. Strong ability to independently navigate unfamiliar technologies, legacy codebases, and complex technical concepts. Ability to communicate effectively with business stakeholders, explain architectural trade-offs, mentor other engineers, and contribute to a strong engineering culture. English — Upper-Intermediate (B2) or higher. Nice-to-have: Experience with both Pulsar and Kafka or other distributed messaging platforms. Deep understanding of event sourcing, event streaming, replay strategies, and consumer group management. Experience designing and optimizing high-throughput distributed systems. Experience with MongoDB at scale. Knowledge of cloud-based architectures and modern DevOps practices. Experience with observability platforms such as Datadog, Sentry, and Elasticsearch. Experience working across the full technology stack, including frontend or UI layers. Experience mentoring engineers and driving technical initiatives across teams. Practical experience incorporating AI-assisted development into everyday engineering workflows. The impact you'll create Design and develop high-quality, scalable services using C#/.NET. Build and maintain ASP.NET server-side applications with a focus on scalability, performance, and long-term reliability. Design and implement APIs and backend components supporting customer-facing products. Work with distributed messaging frameworks and event-driven architectures to power high-throughput systems. Design, implement, and operate event streaming and event sourcing solutions using Pulsar, Kafka, or similar technologies. Work with topic design, consumer group management, event processing, and replay strategies. Develop and optimize data solutions using NoSQL databases such as MongoDB. Implement and maintain observability solutions using Datadog, Elasticsearch, Sentry, or equivalent tools. Establish telemetry, monitoring, logging, and diagnostics best practices across services. Implement and optimize financial calculations, pricing engines, or quantitative models where required. Build reusable, testable infrastructure and maintain consistent coding standards across teams. Collaborate with engineers, product managers, and business stakeholders to deliver features and align on technical direction. Take end-to-end ownership of technical deliverables, from design and implementation through deployment and production support. Investigate unfamiliar technologies, legacy systems, and complex technical problems independently and identify effective solutions. Provide technical guidance and mentorship to other engineers. Contribute to architectural decisions and clearly communicate technical trade-offs. Foster a culture of engineering excellence, knowledge sharing, and continuous improvement. Leverage AI-assisted development tools such as GitHub Copilot, Claude, or similar solutions to improve development productivity and code quality. People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.