
Software Engineer, Enterprise Apps
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in Brazil.
β’ Develop and deploy backend services utilizing Golang and gRPC to enhance the capabilities of the CX platform and facilitate agent workflows across compliance and consumer teams.
β’ Take ownership of assessing, integrating, and providing ongoing support for third-party SaaS platforms, ensuring smooth connectivity throughout the CX tooling ecosystem.
β’ Collaborate with product, design, security, and data teams to create cross-functional solutions addressing complex operational and compliance challenges.
β’ Promote engineering best practices within the team, including conducting code reviews, developing testing strategies, streamlining deployment processes, and establishing observability standards (metrics, logging, tracing).
β’ Convert intricate technical concepts into straightforward recommendations for non-technical stakeholders across CX, product, and leadership teams.
β’ Over 5 years of software engineering experience, with expertise in Go and practical experience in building scalable backend services using gRPC, event-driven architectures (like Kafka), and SQL or NoSQL databases.
β’ Proven experience in evaluating, integrating, and managing third-party SaaS applications and vendor APIs in a production setting.
β’ Experience managing production systems on AWS using Kubernetes, Terraform, and CI/CD tools (such as BuildKite), including the implementation of rate limiters, caching, load balancing, and circuit breakers.
β’ Demonstrated capability to contribute to technical architecture decisions and translate them into reliable, high-traffic production systems.
β’ Utilizes generative AI in a responsible manner, ensuring human oversight to deliver business-ready outputs and achieve measurable improvements in workflow efficiency, cost, and quality.
β’ Shows the ability to responsibly employ generative AI tools and copilots (for example, LibreChat, Gemini, Glean) in daily tasks, continuously learning as tools progress, and applying human-in-the-loop practices to produce business-ready outputs and drive quantifiable enhancements in efficiency, cost, and quality.
β’ Total compensation may also include equity, bonus eligibility, and benefits (such as medical, dental, and vision).
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