Solution Architect

Symphony Solutions is a Cloud- and AI-driven technology company headquartered in the Netherlands, delivering both world-class services and innovative products. With a remote-first mindset, we’ve built a global presence spanning over 20 countries. We specialize in full-cycle software development, cloud engineering, AI services, and digital marketing orchestration. The Solution Architect drives technical credibility across the pre-sales cycle and translates client needs into winnable, deliverable architectures. The role spans pre-sales leadership, enterprise architecture design, and active contribution to our AI service line across iGaming, Aviation, and Healthcare verticals. Experience: 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 Responsibilities: Lead technical pre-sales activities, including discovery sessions, client workshops, and RFP/RFI responses. Manage stakeholders, advise customers, gather requirements, articulate solution trade-offs, and communicate effectively across business and technical audiences. Kick off customer projects for custom development services, ensuring a smooth transition into delivery. Design architectures for enterprise systems and digital products across iGaming, Aviation, and Healthcare. Contribute to company-wide AI adoption, including the rollout of AI tools and definition of optimisation guidelines. Conduct technical interviews for Solution Architect and Tech Lead roles on request. Expected Outcomes Improved win rate and quality of pre-sales engagements: high-level architectures, assumptions and risk statements, estimation sessions, and client-ready proposals delivered on time Strengthened AI service line through new technical solutions, capabilities, and reusable assets that support sales and marketing Accurate estimations with measurable variance against actuals on kicked-off projects Trusted-advisor relationships established with key clients and internal stakeholders Maintained hiring quality bar for Solution Architect and Tech Lead roles via technical interviews