Principal Platform Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and enhance the overall architecture of the Trilon Digital Platform.

• Design reusable shared platform functionalities, which include identity and access management, APIs, notifications, workflow orchestration, and common application services.

• Establish cloud-native architecture, engineering standards, CI/CD practices, observability, and deployment methodologies.

• Create integration patterns that connect enterprise systems, engineering applications, and digital products across Trilon firms.

• Collaborate with data engineering and the Data Architect to facilitate secure and consistent access to enterprise data.

• Define reusable architecture and services for generative AI, AI agents, and intelligent automation.

• Engage directly with engineering teams on solution design, architecture evaluations, technical decisions, and complex implementation challenges.

• Develop a progressive architecture roadmap that balances immediate product delivery with long-term platform scalability.

• Partner with IT and Security to ensure enterprise-grade security, access controls, monitoring, and operational readiness.

• Work alongside Product, Engineering, Data, IT, and business stakeholders to convert requirements into effective technical solutions.

⛳️ Requirements

• Over 10 years of experience in software engineering, with a strong focus on platform architecture, distributed systems, or enterprise software.

• Demonstrated expertise in architecting and delivering enterprise-scale SaaS platforms or cloud-native applications.

• Experience with integrating platforms like Autodesk, Esri ArcGIS, Bentley, Deltek Vantagepoint, or enterprise content management systems.

• Knowledge of GraphQL, REST APIs, event streaming, and contemporary integration frameworks.

• Profound understanding of cloud services, containerization, Kubernetes, CI/CD, infrastructure as code, and observability practices.

• Experience in designing secure enterprise integrations across various systems and data sources.

• Familiarity with modern data architectures, including data lakes, lakehouses, data pipelines, and API-based data access.

• Working knowledge of AI/ML application architecture, including LLM integration, RAG, vector search, and AI orchestration.

• Strong grasp of security architecture, identity and access management, authorization, and enterprise data protection.

🏝️ Benefits

• Base salary range of $161,000–$190,000 per year.

• Compensation is determined based on experience, skills, qualifications, internal equity, and geographic location.

• Fully remote work.