Responsibilities
- Architect, develop, and deploy scalable, production-grade services directly across the core Testlio software platform
- Author clear architectural standards and reference patterns that define domain boundaries, decoupling our current codebase into modular services
- Partner with the Director of Engineering to execute frontend framework consolidation, improving operational performance and observability
- Safeguard system efficiency and regulatory posture by designing with security, cost-efficiency, and ISO 27001 expectations at the center
- Integrate secure AI/LLM patterns into customer-facing surfaces, establishing strict operational guardrails and failure modes for our Quality API
- Advise executive, product, and engineering teams on major technical tradeoffs, translating business needs into clean technical strategies
Requirements
- 15+ years of hands-on software development experience building cloud-native, business-critical platforms
- Advanced mastery of distributed system patterns, data modeling, event-driven design, and database technologies (Relational and NoSQL)
- Proven track record designing and migrating application infrastructures, specifically moving from monolithic architectures to modular services
- Deep experience establishing enterprise-ready patterns in AWS, emphasizing high availability, cost optimization, and secure infrastructure
- Strong familiarity with modern full-stack code environments, including front-end web frameworks, scripting languages, and CI/CD pipelines
- Practical, production-grade experience deploying AI/ML or LLM-based solutions with an emphasis on observable, safe automation patterns
- Fluency in English with exceptional written and verbal communication skills, especially when presenting advanced architecture concepts to business leaders
- Ability to operate effectively as an individual contributor in fast-paced, ambiguous environments, showing proactive problem ownership
- Strong collaboration and alignment focus, capable of guiding distributed engineering teams and technical peers without direct authority
- Outstanding analytical thinking, balancing a broad long-term technology vision with practical, short-term implementation constraints
- Natural inclination for remote-first work, successfully communicating and documenting technical decisions asynchronously across global time zones
