[ref. z23955120] Lead Software Engineer for AI Brand Compliance Platform
This transformation will empower global brands to manage, protect, and optimize their digital assets while ensuring perfect brand consistency across all media touchpoints.
🎯 Role Overview
You'll lead the architectural transformation of our established MAM platform from a hybrid, single-tenant system into a modern, multi-tenant SaaS solution. This role combines deep technical leadership with strategic thinking as you'll not only modernize our existing platform but also architect the foundation for integrating advanced AI-powered brand consistency features.
Requirements
💼 Key Responsibilities- Design and implement the modernization strategy for our existing Java-based MAM platform
- Architect scalable cloud infrastructure on AWS to support both existing and future capabilities
- Lead the architectural transformation from hybrid single-tenant to cloud-native multi-tenant SaaS
- Create migration paths and tools to support current enterprise customers in their cloud journey from single tenant to multi-tenant deployment
- Integrate Gen AI-powered brand consistency features from our Crop.photo brand
- Establish architectural patterns for microservices decomposition of existing monolithic components
- Lead the development of cloud-native services using modern tech stack (Java, Node.js, React)
- Guide the team in implementing industry best practices for cloud-native development
- Collaborate with product management to balance technical debt reduction with feature delivery
- 10+ years of software engineering with 5+ years leading complex platform transformations
- Proven experience modernizing enterprise applications to cloud-native architectures
- Deep expertise in both traditional enterprise and modern cloud development:
- Java enterprise application development and frameworks
- Modern backend technologies (Node.js, Python, Go)
- Cloud-native development patterns and practices
- RESTful API design and implementation
- Strong AWS platform expertise:
- Multi-tenant architecture patterns
- Container orchestration (EKS, ECS)
- Serverless computing (Lambda)
- Database services (RDS, DynamoDB)
- AWS Cognito Identity and access management
- AWS Cost optimization strategies
- Strong experience with media processing pipelines:
- Video transcoding workflows
- Large-scale media file transfer optimization
- Experience with media processing tools (FFmpeg, ImageMagick)
- Infrastructure as Code experience:
- Terraform or AWS CloudFormation
- AWS CI/CD pipeline design
- Automated testing strategies
- System Design & Architecture:
- Microservices decomposition patterns
- Event-driven architecture
- Data migration strategies
- Multi-tenant data modeling
- Enterprise security patterns
- Leadership & Communication:
- Experience leading distributed engineering teams
- Strong technical documentation skills
- Stakeholder management experience
- Track record of successful platform transformations
Benefits
💪 What Makes This Role Special- Lead a transformative project that will shape the future of digital asset management
- Solve complex technical challenges in enterprise-scale media handling
- Work at the intersection of traditional enterprise software and modern cloud architecture
- Build the foundation for innovative AI-powered features
- Direct impact on product strategy and technical direction
- Successful design and implementation of multi-tenant architecture
- Migration of existing capabilities to cloud-native services
- Establishment of scalable integration patterns for AI features
- Implementation of automated deployment and scaling capabilities
- Creation of clear technical documentation and architectural guidelines
🤖 About Evolphin
Evolphin is a leader in digital asset management, trusted by major enterprises in retail, media & entertainment, and beyond. Our flagship MAM platform handles millions of assets - images and videos - for leading brands worldwide. We're now embarking on an exciting journey to transform our platform into a cloud-native DAM SaaS solution that will combine our robust MAM capabilities with cutting-edge AI-powered brand consistency features from our Crop.photo platform.
The ideal candidate will be passionate about modernizing enterprise platforms, have deep expertise in both traditional and cloud-native architectures, and be excited about building the future of media asset management and brand consistency.