The Role
You will build and harden the backend that runs ViewNexa: APIs, event-driven services, ingestion and packaging workflows, and the distributed systems behind live and on-demand streaming.
We need someone who has already operated a large .NET estate on AWS - dozens of services, real failure modes, and opinions about serverless vs. containers that come from production, not from a conference talk.
Principal candidates should have led architecture for a substantial backend domain, not only implemented tickets inside one.
What You Will Do
Design and ship C#/.NET services: REST APIs, background workers, async processing, and service-to-service communication.
Evolve a microservice architecture: messaging, retries, circuit breakers, idempotency, and clear service boundaries.
Build on AWS with intent - ECS/Fargate or EKS, Lambda, API Gateway, SQS/SNS/EventBridge, DynamoDB, RDS/Aurora, S3, CloudFront, IAM, CloudWatch - and choose the right compute model for the workload.
Make serverless vs. container decisions explicitly: cold starts, timeouts, concurrency, state, cost, and when a long-running service is the honest answer.
Raise the operational bar: distributed tracing, alerting, service level objectives, and the ability to debug a failure across multiple services.
Treat security as part of the design: OAuth 2.0/OIDC, JWT, RBAC, IAM, secrets, TLS/mTLS.
Required Experience
Senior-to-Principal C# and .NET. You have built and run large backend platforms, not only CRUD APIs: REST, background processing, async workflows, and distributed systems in production.
Microservices at meaningful scale - on the order of many independently deployed services, not a modular monolith described as microservices. Includes service-to-service communication, event-driven design, queues, retry/circuit-breaker behavior, and production observability (metrics, logs, traces).
Advanced, hands-on AWS. You have shipped and operated systems using several of: ECS/Fargate or EKS, Lambda, EC2, API Gateway, SQS, SNS, EventBridge, DynamoDB, RDS/Aurora, S3, CloudFront, IAM, and CloudWatch. Breadth matters less than having owned production infrastructure, including IaC (Terraform or CloudFormation).
Proven serverless judgment. You understand cold starts, runtime limits, concurrency, state, event-driven patterns, and cost, and you can explain when Lambda is the wrong tool.
Solid data and messaging foundation: at least one relational database (SQL Server or PostgreSQL) plus one of DynamoDB/similar NoSQL, plus a cache (Redis or equivalent). You have designed for consistency, retries, and failure.
Security and delivery basics you have actually implemented: OAuth 2.0 or OIDC, JWT, RBAC, secrets management, TLS, Docker, and CI/CD
Strongly Preferred
Kafka or a comparable log/event platform in production.
Kubernetes (EKS) in addition to ECS/Fargate - useful, not a substitute for AWS depth.
High-throughput or media-adjacent backends (ingest, packaging, job orchestration, multi-tenant SaaS).
Experience reducing cost or failure rate of an existing AWS estate, not only building greenfield.
Nice To Have
Snowflake or warehouse/analytics pipelines.
Streaming, transcoding, or CDN experience.
Go, as some services in the platform are not .NET.
This role IS a fit if..
You can walk through a production incident that spanned multiple services and queues, and you can defend a Lambda vs. Fargate choice with latency, cost, and failure-mode numbers.
This role IS NOT a fit if..
Your AWS experience is limited to S3 + a single EC2 box, or your .NET work has been primarily MVC websites without distributed backend ownership.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxbcsi
- Position Id: Job45121
- Posted 3 hours ago
