Sr. Software Engineer - Backend

Versant•Orlando, FL

2h•Remote

About The Position

We are seeking a Senior Backend Engineer to design and build the services, systems, and infrastructure that power new platforms and products. You will work closely with frontend, AI/ML, and product peers to deliver backend systems that are reliable, scalable, and production ready. This role requires strong technical depth, an ability to tackle ambiguity, and a focus on delivering high-impact outcomes.

Requirements

5+ years of professional backend or platform development experience.
Strong proficiency in one or more modern backend languages (e.g., Go, Java, Node.js).
Experience designing and scaling distributed systems, APIs, and data pipelines.
Familiarity with cloud-native platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Strong understanding of database systems (SQL and NoSQL), caching, and data modeling.
Proficiency with CI/CD pipelines, automated testing, and monitoring/observability practices.
Ability to thrive in a fast-moving, ambiguous environment where projects evolve rapidly.
Experience with event-driven architectures, stream processing, or security/compliance-sensitive systems.

Nice To Haves

Experience building MCP services for LLMs.
Experience with other large entertainment focused platforms, centered around being consumer-facing at a large scale
Familiarity and hands-on exposure with MCP Servers and highly accessible and available API platforms
Knowledge of microservices and event-driven architectures at enterprise scale
Cloud-native, global scaling experience (AWS and their various tool offerings)
Understanding of the mindset of “Fail Fast, Learn Fast” and continuous improvement

Responsibilities

Design, develop, and maintain scalable backend services and APIs.
Take ownership of complex features end-to-end, from design through deployment and monitoring.
Architect key system components that balance performance, reliability, and maintainability.
Collaborate with cross-functional peers to define data models, service contracts, and integration patterns.
Address ambiguous, cross-team challenges, introducing innovative solutions to systemic problems.
Implement CI/CD, observability, and automation practices to ensure production readiness.
Mentor junior and mid-level engineers, raising code quality and technical standards.
Balance technical decisions with user impact and long-term business goals.

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