Full Stack Software Engineer - Remote

Overview

Mediafly is seeking a Full Stack Software Engineer to join our Engineering team working on our learning management product. This is a hands-on role for an experienced engineer with a strong background in building scalable services, applying modern DevOps practices, and integrating with cloud platforms (preferably Azure).

In Short

• Understand functional requirements and implement performant and secure cloud-native services.
• Design and build cloud-based microservices supporting large-scale media and learning experiences.
• Develop reusable backend APIs and services consumed by client applications and partner platforms.
• Design and implement reusable components with a focus on scalability and testability.
• Build and debug features across the stack, from API layers to media processing workflows.
• Develop automated unit and integration tests to ensure software quality.
• Work closely with Product and Engineering leaders to deliver features on schedule.
• Collaborate with clients, partner teams, and internal stakeholders to support new builds, migrations, and integrations.
• Participate in code reviews, design sessions, and continuous improvement activities.
• Mentor other engineers and contribute to shared technical standards.

Requirements

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of full-stack development experience in enterprise environments.
• Strong knowledge of .NET, C#, JavaScript/Node.js and RESTful services.
• Experience building cloud-based applications using Azure or AWS (Azure preferred).
• Experience with object storage, media processing, or streaming infrastructure.
• Experience with CI/CD frameworks such as Azure DevOps, GitHub Actions, CircleCI, or Jenkins.
• Excellent communication and collaboration skills with a cross-functional mindset.
• Strong grasp of distributed systems, service-oriented architecture, and microservice messaging patterns.

Benefits

• Salesforce development experience with Visualforce, Lightning Components, and Salesforce API integrations.
• Experience with container orchestration and deployment using Kubernetes or ECS.
• Familiarity with event and message-based systems like Kafka or MQTT.
• Experience with enterprise monitoring and log analytics tools (e.g., Azure Monitor, Application Insights).
• Experience integrating AI services or media analytics tools for transcription, personalization, or coaching.