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Lead Architect to define the next generation of Procurify’s cloud, data, and AI platforms. This is a high-impact technical leadership role that spans system design, platform scalability, and data intelligence - ensuring our architecture remains resilient, extensible, and AI-ready as we scale.
Job Responsibility:
Define and evolve Procurify’s platform architecture across data, AI, and core systems
Partner with product and engineering leadership to align architecture with long-term business strategy
Guide technology decisions balancing innovation, maintainability, and performance
Drive the design of scalable, secure, and reliable distributed systems
Lead complex architectural and design reviews across multiple teams
Build reference architectures, proofs of concept, and technical standards
Partner with Data and AI teams to design next-gen AI infrastructure and systems
Champion modern engineering practices, including CI/CD, observability, security, and reliability
Stay current on emerging technologies
Collaborate with the CPTO and senior leaders to define and communicate the long-term technical direction
Act as a connector between teams, ensuring consistent patterns, shared tooling, and architectural alignment
Mentor engineers and technical leads
Contribute to hiring, technical culture, and knowledge sharing
Translate architectural vision into actionable, measurable initiatives
Simplify and scale our platform while improving developer productivity and system resilience
Contribute to technical hiring decisions and help shape the engineering organization’s growth
Requirements:
15+ years of software engineering experience
5+ years in senior or architectural roles
Deep expertise in data systems, distributed architecture, and AI/ML infrastructure
Strong experience with cloud-native platforms (AWS, GCP, or Azure) and modern frameworks (e.g., Python, React, TypeScript, or similar)
Proven ability to design and deliver scalable, maintainable systems in production environments
Strong understanding of API design, event-driven systems, data modeling, and CI/CD practices
Excellent communication and collaboration skills with the ability to influence across teams and levels
Maintains a professional and current LinkedIn profile, updated upon joining
Nice to have:
Experience integrating AI/ML systems into production environments
Experience with data pipelines, warehouses, or streaming systems
Track record of mentoring engineers and guiding system-level technical decisions
Experience in SaaS, fintech, or enterprise product environments
What we offer:
Flexible working: remote-first organization with flexible working hours
Responsible time off
Extended health benefits: competitive health, vision, and dental package, Employee Assistance Program (EAP), health and wellness spending account
Community initiatives: community days, Donate Your Day program, lunch and learns
Stock options
DEI initiatives: diversity, equity, and inclusion roundtable