Randstad Digital, we are based on the excellence of our engineers, and consider our team to be our most valuable asset. Always putting talent first, we support technology specialists throughout their professional lives and ensure that they develop their skills. We provide varied and challenging career opportunities, as we work with our clients on a wide range of projects in various industries, including Automotive, Heavy Industry, Transportation, Finance, Services, Security and Biometrics, Platforms and IoT, Telecommunications, and Mobile Communications, among others. Our mission is to be a trusted digital enablement partner that facilitates the accelerated transformation of companies by providing talent, capacity, and global solutions in specialized domains. We support four service lines, including customer experience, digital and product engineering, data and analytics, and cloud transformation, as well as three engagement models, including talent services, global talent centers, and managed solutions capabilities.
Key Responsibilities:
Cloud Architecture:
Architect and maintain the AWS cloud infrastructure for the external AI-SDLC platform.
Modernization Loop:
Support the infrastructure for \"reverse - context - forward engineering\" cycles.
Data Environment Management:
Enable heavy data processing for ingesting code, screens, and documents into unified knowledge bases.
AI Agent Deployment:
Provide stable environments for AI agents generating specifications, architecture, and code.
Stakeholder Collaboration:
Partner with BMAD experts, Platform Delivery, and AgentOps SREs to integrate agents into client workflows.
Job Requirements:
AWS Mastery:
Deep expertise in Amazon Web Services (AWS) cloud infrastructure.
Specialized Data Architecture:
Experience with Vector Databases, Graph Databases, and Embeddings.
SDLC Expertise:
Strong understanding of modern Software Development Life Cycle and complex application refactoring.
Senior Experience:
5+ years of experience architecting and managing senior-level, data-heavy AWS environments.
Ingestion & Security:
Experience with continuous data flows and knowledge of privacy/security compliance for client-facing environments.
Certifications:
AWS Certified Solutions Architect.
AWS Certified Machine Learning.