
Solution Architect with Frontend, Backend, Fatabase, AI/ML
5 days ago
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Principal Consultant, Senior IT / Technical Project Manager, Data Management, Data Governance, ERP Transformation and Power BI Competency LeaderJob Overview
Lead the design and implementation of scalable, high-performance solutions with a focus on on-premises infrastructure and LLM integration, ensuring alignment with business objectives and technical excellence.
Key Responsibilities
Define and document end-to-end technical architectures that meet business and technical requirements.
- Design scalable, secure, and maintainable solutions for on-premise and hybrid environments.
- Create architectural blueprints, diagrams, and technical documentation.
- Ensure adherence to best practices in performance, security, and scalability.
2. Frontend Architecture
Architect and optimize modern, responsive frontend applications.
- Develop React 18+ with TypeScript applications using Redux Toolkit for state management.
- Implement Material-UI (MUI) for UI components and Recharts for data visualization.
- Integrate Socket.io for real-time updates and Formik/Yup for form management.
Design robust, high-performance backend systems to support frontend and integration needs.
- Build Express.js (Node.js) APIs with TypeScript and document using OpenAPI/Swagger.
- Implement JWT-based authentication via Passport.js and validate requests with Joi.
- Optimize performance using Redis for caching and bull for job processing.
4. Database & Storage
Design and manage efficient, scalable data storage and retrieval systems.
- Architect PostgreSQL 14+ databases with TimescaleDB for time-series data.
- Utilize Sequelize ORM for database interactions and migrations.
- Deploy Qdrant for vector search and on-premise storage solutions (e.g., NAS/SAN) for documents.
5. AI/ML & LLM Integration
Integrate advanced AI/ML capabilities, including custom LLMs, into the solution architecture.
- Implement OCR solutions (e.g., Tesseract) and NLP frameworks (e.g., Hugging Face Transformers).
- Deploy and fine-tune open-source LLMs (e.g., LLaMA, GPT-Neo) for generative AI applications.
- Orchestrate workflows using Apache Airflow or Kubeflow.
Design and deploy resilient, high-performance on-premise infrastructure.
- Manage Kubernetes clusters for containerized microservices and virtualized environments (e.g., VMware).
- Configure high-availability PostgreSQL and Redis for caching.
- Secure infrastructure with firewalls, VPNs, and identity management (e.g., LDAP, Keycloak).
7. DevOps & Monitoring
Ensure seamless deployment, scalability, and observability of systems.
- Implement CI/CD pipelines using Jenkins, GitLab CI, or ArgoCD.
- Monitor performance and troubleshoot issues with Prometheus, Grafana, and ELK Stack.
Drive cross-functional alignment and mentor teams to deliver high-quality solutions.
- Collaborate with developers, product managers, and stakeholders to refine requirements.
- Provide technical leadership and mentorship to engineering teams.
Required Skills & Qualifications
- Experience: 8+ years in software development, including 3+ years as a Solution Architect.
- Technical Expertise:
- Infrastructure: Kubernetes, VMware, high-availability systems.
- DevOps: CI/CD, monitoring, IaC (Terraform, Ansible).
- Soft Skills: Exceptional communication, problem-solving, and leadership abilities.
Preferred Qualifications
- Certifications: CKA/CKAD, VMware, or Linux.
- Experience with vector databases (Qdrant) and custom LLM deployments.
- Proficiency in Airflow or Kubeflow for workflow orchestration.
- Mid-Senior level
- Contract
- Engineering and Information Technology
- Industries: IT Services and IT Consulting
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