Mediafly is looking for an experienced Technical Architect with deep Salesforce expertise to help drive the next phase of innovation across our platform. In this pivotal role, you’ll design secure, scalable, and impactful solutions that align with client needs while supporting Mediafly's long-term product vision.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
- 9+ years of CRM experience, with at least 6 years on the Salesforce platform.
- Salesforce certifications: Application Architect & System Architect required. CTA - Highly preferred.
- Deep expertise across the Salesforce suite: Sales, Service, Marketing, and Experience (Community) Clouds.
- Proven ability to design performant, scalable Salesforce solutions for large data volumes.
- Strong understanding of data architecture, sharing models, visibility rules, and platform limits.
- Proficiency in Salesforce development (Apex, Visualforce, Lightning Components, LWC).
- Experience with Salesforce integration patterns and tools (REST/SOAP APIs, middleware like MuleSoft or Dell Boomi).
- Working knowledge of cloud storage and eventing platforms (Azure Event Hub, AWS S3).
- Familiarity with release and environment management, version control, and CI/CD workflows.
- Experience with Agile methodologies and tools (e.g., JIRA, Scrum).
- Preferred: Experience with containerized and microservices-based architectures (e.g., Docker, Kubernetes, Kafka, MQTT).
- Salesforce Platform Expertise
- Expert-level knowledge of the Salesforce product suite: Sales Cloud, Service Cloud, Experience Cloud, Agentforce, and Data Cloud
- Deep experience with Salesforce development technologies: Apex, Visualforce, Lightning Components, and LWC
- Strong understanding of: Data sharing, record visibility, and platform architecture
- Integration patterns: REST/SOAP APIs, Platform Events, Named Credentials
- AI & Data Architecture
- Proven experience designing and deploying AI/ML solutions integrated with Salesforce (3+ years).
- Strong knowledge of AI architecture, including pipeline design, model lifecycle (versioning, retraining, explainability), and operational monitoring.
- Hands-on experience with: Einstein GPT, Einstein Discovery, CRM Analytics, and Salesforce Data Cloud
- Generative AI, NLP, and predictive modeling use cases
- Proficient in AI/ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
- Understanding of data management, big data platforms, and data privacy/compliance (e.g., GDPR, HIPAA).
- Infrastructure & DevOps
- Familiarity with cloud platforms (Azure, AWS) and storage solutions (e.g., Event Hub, S3, Blob Storage).
- Knowledge of environment and release management: Version control, deployment pipelines, and CI/CD best practices
- Preferred: Experience with containerized environments (Kubernetes, ECS, Docker)
- Preferred: Exposure to microservice messaging platforms (Kafka, MQTT)
- Agile & Delivery
- Comfortable working in agile environments using tools like JIRA, Confluence, and Git-based workflows.
- Strong collaboration and communication skills for working across cross-functional teams and translating technical solutions into business value.
Benefits
- Generous Paid Time Off
- Competitive Salary
- Health Benefits
- Transparent Career Paths
- Generous Paid Parental Leave
- Remote Stipend
