We are seeking a Senior Engineer with proven experience delivering high-quality enterprise-scale web applications. The role requires the ability to balance elegant user-friendly interfaces with the technical depth needed to ensure scalability security and performance for a global client base.
DIGIDECK offers a highly interactive visually dynamic experience for its users so this role will involve close collaboration with design and product teams to bring creative concepts to life in a way that performs seamlessly at scale.
While your primary responsibility will be leading architecture and development for robust web applications experience with modern AI technologiesincluding Large Language Models (LLMs) and the Model Context Protocol (MCP)is valued as a secondary capability to help us introduce intelligent features where they add value to the user experience.
Primary Responsibilities
- Lead architecture design and development for web applications that combine strong visual design with technical performance
- Ensure application performance reliability and scalability across a distributed system architecture
- Collaborate with design UX and product teams to translate creative concepts into maintainable performant features
- Provide technical leadership through code reviews architectural guidance and mentorship
- Optimize user interfaces for responsiveness accessibility and cross-browser compatibility
- Work with product stakeholders to define and deliver scalable secure solutions
- Oversee cloud deployments and containerized application delivery
- When applicable integrate AI-driven capabilities such as LLM-based features and MCP-powered connections to enhance functionality
Required Skills and Experience
- 5 years in senior-level software engineering or technical leadership roles
- Experience developing applications with both strong visual/interactive requirements and complex backend architecture
- Proficiency in HTML CSS JavaScript and a modern framework such as React Angular or Vue
- Proficiency in and at least one additional backend or API-focused language such as Java or C#
- Experience with large-scale distributed systems including performance tuning and reliability engineering
- Strong database skills with SQL and NoSQL
- Cloud deployment experience with AWS Azure or GCP
- Experience with containerization including building and deploying Docker images and working with container orchestration platforms such as Kubernetes
- Familiarity with testing frameworks such as Jasmine Mocha or Chai
Desired Skills
- Experience with advanced rendering techniques animation libraries or media asset optimization
- Background in distributed computing frameworks or event-driven architectures such as Kafka Spark or Kubernetes
- Familiarity with retrieval-augmented generation (RAG) pipelines and vector databases such as Pinecone Weaviate or FAISS
- Knowledge of MCP for standardized AI integration in enterprise applications
- Hands-on experience with AI API integrations such as OpenAI Anthropic Google Vertex AI or Hugging Face
- Ability to integrate analytics tools to measure and optimize user engagement
- Understanding of DevOps principles and CI/CD pipelines including automated container builds and deployments
Required Experience:
Manager
We are seeking a Senior Engineer with proven experience delivering high-quality enterprise-scale web applications. The role requires the ability to balance elegant user-friendly interfaces with the technical depth needed to ensure scalability security and performance for a global client base.DIGIDEC...
We are seeking a Senior Engineer with proven experience delivering high-quality enterprise-scale web applications. The role requires the ability to balance elegant user-friendly interfaces with the technical depth needed to ensure scalability security and performance for a global client base.
DIGIDECK offers a highly interactive visually dynamic experience for its users so this role will involve close collaboration with design and product teams to bring creative concepts to life in a way that performs seamlessly at scale.
While your primary responsibility will be leading architecture and development for robust web applications experience with modern AI technologiesincluding Large Language Models (LLMs) and the Model Context Protocol (MCP)is valued as a secondary capability to help us introduce intelligent features where they add value to the user experience.
Primary Responsibilities
- Lead architecture design and development for web applications that combine strong visual design with technical performance
- Ensure application performance reliability and scalability across a distributed system architecture
- Collaborate with design UX and product teams to translate creative concepts into maintainable performant features
- Provide technical leadership through code reviews architectural guidance and mentorship
- Optimize user interfaces for responsiveness accessibility and cross-browser compatibility
- Work with product stakeholders to define and deliver scalable secure solutions
- Oversee cloud deployments and containerized application delivery
- When applicable integrate AI-driven capabilities such as LLM-based features and MCP-powered connections to enhance functionality
Required Skills and Experience
- 5 years in senior-level software engineering or technical leadership roles
- Experience developing applications with both strong visual/interactive requirements and complex backend architecture
- Proficiency in HTML CSS JavaScript and a modern framework such as React Angular or Vue
- Proficiency in and at least one additional backend or API-focused language such as Java or C#
- Experience with large-scale distributed systems including performance tuning and reliability engineering
- Strong database skills with SQL and NoSQL
- Cloud deployment experience with AWS Azure or GCP
- Experience with containerization including building and deploying Docker images and working with container orchestration platforms such as Kubernetes
- Familiarity with testing frameworks such as Jasmine Mocha or Chai
Desired Skills
- Experience with advanced rendering techniques animation libraries or media asset optimization
- Background in distributed computing frameworks or event-driven architectures such as Kafka Spark or Kubernetes
- Familiarity with retrieval-augmented generation (RAG) pipelines and vector databases such as Pinecone Weaviate or FAISS
- Knowledge of MCP for standardized AI integration in enterprise applications
- Hands-on experience with AI API integrations such as OpenAI Anthropic Google Vertex AI or Hugging Face
- Ability to integrate analytics tools to measure and optimize user engagement
- Understanding of DevOps principles and CI/CD pipelines including automated container builds and deployments
Required Experience:
Manager
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