Solution Architect
Actively Reviewing the ApplicationsWIN Holding
On-site
Posted 4 days ago
•
Apply by June 10, 2026
Job Description
Role Summary
We need a hands-on architect who can:
We need a hands-on architect who can:
- Own and lead Fotopia’s solution and platform architecture end-to-end.
- Introduce and operationalize AI-assisted engineering across the team (not “AI hype” — real workflows, governance, and measurable impact).
- Champion and standardize the use of Claude and OpenClaw as core tools for design, coding, testing, documentation, and delivery acceleration.
- Upgrade our culture: make AI usage consistent, responsible, secure, and productive.
- Architecture Leadership
- Own Fotopia’s target architecture (application + data + integrations + security + deployment).
- Define and maintain architecture standards: design patterns, service boundaries, APIs, data models, versioning, and documentation.
- Ensure the platform supports scalability, performance, reliability, and maintainability.
- Drive architectural decisions with strong justification (trade-offs, risks, cost, complexity).
- Lead technical discovery, solution design, and architecture reviews for new initiatives.
- AI-Driven Engineering Enablement (Core Requirement)
- Build an AI adoption program for engineering:
- Standard AI workflows (requirements → design → code → tests → documentation).
- AI coding standards, prompt/playbook templates, and code review rules.
- Secure usage policies (data handling, secrets, customer data, IP considerations).
- Make the team proficient in using AI for:
- Refactoring and modernization
- Test generation and coverage improvement
- Documentation and knowledge base creation
- Debugging and incident analysis
- Architectural option analysis and decision support
- Claude & Ai Development tools
- Establish best practices for using Claude , Coursera, Antigravity and OpenClaw effectively:
- Prompt patterns, agent workflows, guardrails, and quality control.
- Tooling integration into dev processes (CI/CD, documentation, code analysis).
- Act as the internal coach and “multiplier” who lifts the whole team’s capability.
- D) Delivery & Governance
- Partner with Product, Engineering Managers, and Tech Leads to ensure architecture aligns with roadmap and delivery.
- Define non-functional requirements (NFRs) and acceptance criteria.
- Create architecture artifacts: HLD/LLD, C4 diagrams, integration specs, API contracts, data flow diagrams, threat models.
- Improve technical governance: design reviews, ADRs, technical debt prioritization, and architecture runway planning.
- Team & Culture Change
- Mentor engineers and tech leads; elevate skills and accountability.
- Drive a culture of engineering excellence: clean architecture, testing discipline, observability, performance hygiene.
- Introduce measurable KPIs for improvement (lead time, defect rate, test coverage, incident rate, rework).
- 8–12+ years experience in software engineering with strong recent experience as a Solution Architect / Software Architect.
- Proven track record designing scalable systems (monolith-to-modular, services, event-driven, integrations).
- Strong knowledge of:
- API design (REST/GraphQL), integration patterns, messaging (as applicable)
- Security fundamentals (authn/authz, OWASP concepts, secrets management)
- Cloud and DevOps concepts (CI/CD, containers, environments, deployments)
- Databases and data modeling (SQL + ideally exposure to NoSQL/search)
- Observability (logging, metrics, tracing) and performance tuning
- Strong hands-on usage of Claude and OpenClaw in real engineering workflows (not theoretical).
- Excellent communication skills: can simplify, document, and align stakeholders.
- Ability to lead without authority and drive change across teams.
- Experience with document management, workflow engines, OCR/IDP, ECM domains, or enterprise integrations.
- Experience in multi-tenant SaaS architecture and/or platform engineering.
- Familiarity with agentic tools, structured prompting, evaluation frameworks, and AI governance.
- Experience building internal engineering playbooks and training programs.
Required Skills
Communication
Engineering
Quality Control
Documentation
Leadership
Prioritization
Performance Tuning
SQL
Data Modeling
Training
GraphQL
KPIs
NoSQL
DevOps
CI/CD
Testing
Design patterns
Debugging
Debt
Data flow
Governance
Software engineering
Data flow diagrams
Solution design
Maintainability
Customer data
LLD
Data models
Document management
API Design
OCR
Modeling
Incident analysis
Platform architecture
Hygiene
Clean architecture
Guardrails
Integration patterns
Code analysis
Test generation
ECM
SAAS architecture
Event-driven
Target
Platform Engineering
Logging
Design reviews
Contracts
Secrets
Multi-tenant
Defect
IDP
Development tools
AI Adoption
OWASP
Secrets management
Observability
Playbooks
Trade
Threat
Incident
Whole
Code review
Containers
Claude
Productive
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