Senior Dotnet Developer

About the role

We are looking for an experienced and visionary Senior .NET Developer to join our innovative engineering team. In this role, you will lead the architecture, design, and implementation of highly available, cloud‑native microservices and intelligent systems.

Key responsibilities

• Architect, build, and run resilient, scalable distributed microservices using .NET / ASP.NET Core hosted on AWS (ECS, EKS, AWS Lambda, API Gateway).
• Drive system design decisions covering RESTful APIs, gRPC, distributed caching (Redis), and event‑driven messaging using AWS services (Amazon SQS, SNS, EventBridge) or Apache Kafka.
• Embed AI‑assisted workflows across the entire SDLC—leveraging modern AI developer tools (Cursor, GitHub Copilot, Claude Code, ChatGPT) for architectural validation, automated code generation, refactoring, unit test generation, and deep debugging.
• Own relational and NoSQL database strategies, ensuring performance and scalability across cloud stores (e.g., PostgreSQL, Amazon Aurora, Amazon DynamoDB).
• Establish design standards, conduct code reviews, enforce software quality, and mentor engineering team members on modern .NET design patterns and AI‑native workflows.
• Maintain visibility into system health using observability tools (OpenTelemetry, AWS CloudWatch, Datadog) to ensure high availability and proactive fault resolution.

Required profile

• 5+ years of full‑time professional experience in software engineering with deep expertise in C# and .NET Core.
• Strong track record designing and running distributed systems, cloud‑scale microservices, Domain‑Driven Design (DDD), and event‑driven architectures.
• Hands‑on experience with native AWS services (EC2, ECS/EKS, AWS Lambda, API Gateway, S3, IAM).
• Strong practical experience with Docker and container management via Kubernetes (EKS) or Amazon ECS.
• Proven ability to work as an AI‑native engineer, deeply integrating AI reasoning and coding workflows into day‑to‑day software development.
• Expert‑level understanding of how to audit, verify, test, and take complete technical ownership of AI‑generated code and system architectures.

Required skills

• C#
• .NET Core / ASP.NET Core
• AWS (EC2, ECS, EKS, Lambda, API Gateway, S3, IAM)
• Docker
• Kubernetes
• PostgreSQL
• Amazon Aurora
• Amazon DynamoDB
• Redis
• Apache Kafka
• gRPC
• RESTful APIs
• OpenTelemetry
• Datadog
• AI developer tools (Cursor, GitHub Copilot, Claude Code, ChatGPT)