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.

Requirements

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