Solution Architect drives technical credibility across pre-sales cycle and translates client needs into winnable, deliverable architectures.
Requirements
- 5+ years of software development experience with at least one of: Python, Java, Node.js
- 3+ years in a solution architecture function within a service or product company
- Experience leading and mentoring one or more software development teams
- Working experience with Lean / Agile / Scrum and team scaling frameworks (SAFe, LeSS, or equivalent)
- Demonstrable experience in pre-sales activities (RFP/RFI, discovery workshops, technical proposals)
- English proficiency at minimum B2 level (CEFR), spoken and written
- Computer Science Foundations: Databases (RDBMS and NoSQL), Architectural styles and design patterns, Security patterns, computer security, and networking vulnerabilities
- Practical Technical Experience: High-load systems design, Cloud providers: AWS, Azure, or GCP, Microservices architecture (modular, scalable system design), Event-driven architecture (Kafka, RabbitMQ, or cloud-native messaging services), CI/CD principles and tools (Bitbucket Pipelines, GitLab CI, Argo, etc.) and deployment strategies, Containerisation and orchestration; Kubernetes; hybrid cloud, Security posture, data privacy, and data protection in software development
- AI & Data Systems Foundations: Cloud AI services: working knowledge of AWS (SageMaker, Bedrock), Azure (Cognitive / AI Services), or GCP (Vertex AI), Generative AI and LLM landscape, including SaaS vs. self-managed trade-offs and model selection criteria, Security in AI solutions: secure model handling, data anonymisation, compliance considerations
- Soft Skills: Building trusted relationships with clients and internal customers, Influencing senior decision-makers, Analysis of business, product, and technology requirements; reasoning about architectural trade-offs, Strong communication and presentation skills, Critical thinking and analytical reasoning, Teamwork and collaboration
- Nice-to-Have: Industry experience in iGaming, Aviation, or Healthcare, including familiarity with relevant regulatory contexts (e.g., gambling licensing, aviation safety standards, HIPAA/GDPR), Agentic AI architecture: design patterns, frameworks, and orchestration tools (LangGraph, MCP, A2A), Cloud provider Architect or Engineer certifications, AI Platform Architect badges or equivalent vendor credentials
Benefits
