Solution Architect

Symphony Solutions

Solution Architect driving pre-sales technical credibility, designing architectures in iGaming, Aviation, and Healthcare. Contributing to AI service initiatives and mentoring teams.

Posted 7/27/2026full-timeRemote • 🇺🇦 UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in solution architecture and technical pre-sales activities, with a strong focus on cloud technologies, AI integration, and high-load systems design. Proven ability to lead software development teams and manage stakeholder relationships effectively.

Highest-signal resume keywords

Solution ArchitectureTechnical Pre-Sales ActivitiesCloud Technologies (AWS, Azure, GCP)Microservices ArchitectureAgile Methodologies (Lean, Scrum)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaNode.jsDatabases (RDBMS, NoSQL)High-Load Systems DesignCI/CD Principles and ToolsContainerisation and OrchestrationEvent-Driven ArchitectureArchitectural Styles and Design PatternsSecurity Patterns

Soft Skills

Strong Communication SkillsCritical ThinkingTeamworkCollaborationInfluencing Senior Decision-Makers

Tools & Technologies

KubernetesKafkaRabbitMQBitbucket PipelinesGitLab CIAWS SageMakerAzure Cognitive ServicesGCP Vertex AIHybrid CloudAI Tools

Certifications & Qualifications

Cloud Provider Architect or Engineer CertificationsAI Platform Architect Badges

Industry Keywords

IGamingAviationHealthcareGambling LicensingAviation Safety StandardsHIPAAGDPR

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptKafkaKubernetesMicroservicesNode.jsNoSQLPythonRabbitMQRDBMS

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
Databases (RDBMS and NoSQL)
Architectural styles and design patterns
Security patterns, computer security, and networking vulnerabilities
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
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
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
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

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Symphony Solutions Website LinkedIn All Job Openings 501 - 1000 employees Founded 2008 🤖 Artificial Intelligence 🎮 Gaming ☁️ SaaS Artificial Intelligence
Gaming
SaaS Symphony Solutions is a software company that builds AI-powered platforms and services focused on iGaming and enterprise software. Their public site highlights products such as BetSymphony (a turnkey iGaming / sportsbook and online casino platform), BetHarmony (an AI-powered conversational agent and bet recommendation system), Harmony (an AI assistant for customer service), and Symphony Cloud (a cloud development environment and DevOps tooling). They market AI-driven business transformation services and platform solutions for operators and enterprises, and also reference a corporate charity initiative. Solution Architect Job not on LinkedIn 🔥 0 minutes ago 🇺🇦 Ukraine – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer AWS Azure Cloud Google Cloud Platform Java JavaScript Kafka Kubernetes Microservices Node.js NoSQL Python RabbitMQ RDBMS Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. 🎯 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
Databases (RDBMS and NoSQL)
Architectural styles and design patterns
Security patterns, computer security, and networking vulnerabilities
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
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
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
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
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