Software Engineer, Enterprise Apps at Blockchain Association – Remote - Brazil | Jobyssey

You will build and extend platforms that power customer service and compliance operations. You will develop full stack services and integrations that enable agents to resolve customer issues and manage workflows at scale. You will collaborate with product, design, security, and data teams to deliver cross functional solutions and ship high quality services. You will contribute to architecture decisions, implement robust testing, and ensure observability through metrics, logging, and tracing.

Responsibilities

Build and ship backend services using Go and gRPC that extend CX platform capabilities and support agent workflows across compliance and consumer teams.
Own the evaluation, integration, and ongoing support of third party SaaS platforms, ensuring seamless connectivity across the CX tooling ecosystem.
Partner with product, design, security, and data teams to deliver cross functional solutions to complex operational and compliance challenges.
Drive engineering best practices across the team, including code reviews, testing strategies, deployment processes, and observability standards (metrics, logging, tracing).
Translate complex technical concepts into clear recommendations for non-technical stakeholders across CX, product, and leadership teams.

Requirements

5+ years of software engineering experience, with proficiency in Go and hands-on experience building scalable backend services using gRPC, event-driven architectures (Kafka or similar), and SQL or NoSQL databases.
Demonstrated experience evaluating, integrating, and operating third-party SaaS applications and vendor APIs in a production environment.
Experience operating production systems on AWS with Kubernetes, Terraform, and CI/CD tooling (BuildKite or similar), including implementation of rate limiters, caching, load balancing, and circuit breakers.
Proven ability to contribute to technical architecture decisions and translate them into reliable, high-traffic production systems.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g. LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

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Responsibilities

Requirements