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

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