Medior/Senior .NET Software Engineer (.NET 8 / Kafka / AWS) - Remote Brazil

Sobre a oportunidade

ABOUT THE OPPORTUNITY

Join a globally recognized software engineering company that builds high-performance, resilient, and scalable products for clients across multiple industries and continents. With a remote-first culture, a flat structure, and a genuine commitment to engineering craft, this is a place where senior engineers have the autonomy to shape architecture, mentor peers, and make meaningful technical decisions. You won't be maintaining legacy systems in the dark — you'll be working on enterprise-scale platforms alongside a collaborative, self-organized team that values empathy as much as clean code.

PROJECT & CONTEXT

You'll be joining an enterprise-scale product team working on complex, event-driven backend systems. The stack is modern and deliberate: .NET 8 at the core, AWS SNS/SQS for messaging, Kafka for event streaming, Redis/Valkey for caching, Terraform for infrastructure-as-code, and Kubernetes for orchestration. The systems you work on serve real users at scale, and performance is a first-class concern. English is the working language across the team and with international clients daily.

WHAT WE'RE LOOKING FOR (Required)

5+ years of professional software engineering experience with .NET, including strong hands-on command of .NET 8

Solid experience designing and implementing event-driven architectures using AWS SNS and SQS

Proficiency with infrastructure-as-code using Terraform for building stable, repeatable environments

Experience with container orchestration in Kubernetes

Strong testing practices using xUnit and WireMock for integration and contract testing

Experience with caching strategies using Redis or Valkey for performance-critical systems

Proven ability to mentor engineers and contribute to collaborative architectural decisions

Strong English communication skills (written and verbal) — required for daily collaboration with international clients and teammates.

NICE TO HAVE (Preferred)

Experience with AWS Data Firehose or Data Streams for real-time data movement

Familiarity with Python or experience integrating LLMs into engineering workflows

Active use of AI-assisted development tools such as GitHub Copilot or ChatGPT in day-to-day engineering work

Background in distributed systems and Agile delivery environments

Experience with Kafka beyond basic event streaming (partitioning strategies, consumer groups, schema registry).

Originally posted on Himalayas