Responsabilidades e atribuições
ABOUT THE OPPORTUNITYJoin 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 & CONTEXTYou'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
Responsibilities and AttributionsWHAT 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
Requisites and QualificationsNICE 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)
