Senior Backend Engineer .NET
Skills
About This Role
Role Summary
We are looking for a Senior Backend Engineer to design and build high-performance backend services, APIs, and middleware.
You will architect distributed systems, integrate third-party hardware and external platforms, and implement event-driven architectures for real-time data processing.
This is a hands-on role requiring deep expertise in .NET, working knowledge of modern Node.js, and production Kubernetes experience.
You will own critical systems end-to-end, make architectural decisions that shape the platform, and mentor junior engineers.
Key Responsibilities
- Design and implement high-performance backend services, APIs, and middleware.
- Architect and build distributed systems ensuring horizontal scalability, fault tolerance, and high availability.
- Design integration layers for third-party systems, hardware and external APIs
- Implement event-driven architectures for real-time alarm correlation, video analytics events, and system telemetry.
- Deploy, manage, and optimize containerized workloads on Kubernetes (on-premises and cloud).
- Collaborate with DevOps on CI/CD pipelines, infrastructure as code, and deployment strategies.
- Lead code reviews, enforce coding standards, and mentor junior engineers.
- Identify and resolve backend bottlenecks through profiling, load testing, and performance optimization.
- Own technical documentation including ADRs, API specifications, and runbooks.
Education
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
Work Experience
- 8+ years of experience in backend software development.
- Minimum 5+ years of hands-on development in .NET Core/.NET (C#).
- Proven track record designing and operating distributed systems at scale.
- Experience with Kubernetes in production environments.
Technical Skills Required
- Strong proficiency in .NET 8+ and C#: ASP.NET Core, minimal APIs, gRPC, high performance async patterns.
- Working knowledge of modern Node.js/Bun ecosystem — TypeScript, NestJS/Express/Hono, Prisma/Drizzle.
- Kubernetes: deployments, services, ingress, ConfigMaps/Secrets, Helm charts.
- Distributed systems: CAP theorem, eventual consistency, circuit breakers, saga patterns.
- Message brokers: Kafka, RabbitMQ, SQS/SNS, Azure Service Bus.
- Databases: PostgreSQL, SQL Server, MongoDB, Redis.
- AWS: ECS/EKS, Lambda, SQS/SNS, S3, RDS, IAM, CloudWatch.
- Azure: AKS, Container Apps, App Service, Service Bus, Blob Storage, Application Insights.
- API design: REST, gRPC, OpenAPI/Swagger, API versioning.
- Architectural patterns: Clean Architecture, CQRS, Event Sourcing, DDD.
- Testing: xUnit/NUnit, Vitest/Jest, integration tests, test containers.
- Observability: OpenTelemetry, Prometheus/Grafana, structured logging, distributed tracing.
Preferred Experience
- Real-time communication with SignalR, WebSockets, server-sent events.
- Video streaming, media servers, or high-throughput IoT ingestion.
- GitOps and IaC — ArgoCD/Flux, Terraform, GitHub Actions or Azure DevOps.
- Service mesh and platform security, Vault, container scanning.
- Hardware integration via SDKs, proprietary protocols, device communication.
- Working knowledge or understanding of Python and its ecosystem.
Soft Skills
- Self-driven with ability to own features end-to-end with minimal supervision.
- Strong analytical and debugging skills in complex distributed environments.
- Clear communication with both technical and non-technical stakeholders.
- Strong documentation habits, you write it down so others can run with it.
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