• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python and SQL. • Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem. • Develop and maintain Delta Lake-based data architectures. • Develop robust and scalable data products and modern data platform components supporting strategic business initiatives. • Contribute to CI/CD implementation and automation for data solutions. • Apply engineering best practices around source control, testing, deployment, and monitoring. • Support Infrastructure-as-Code and environment standardisation initiatives. • Ensure high standards of data quality, observability, monitoring, security, and operational reliability. • Collaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes. • Participate in technical design discussions and contribute to solution architecture decisions. • Support platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives.

• Diseñar, implementar y mantener infraestructura en la nube (GCP) de forma robusta y escalable. • Gestionar contenerización de aplicaciones (Docker, ECS, Kubernetes). • Administrar y optimizar redes en la nube. • Responder ágilmente a solicitudes de negocio que requieran despliegues rápidos o reasignación de prioridades (ej. despliegue en nuevas regiones sin tiempo de preparación). • Contribuir a la observabilidad del sistema usando herramientas como Datadog, Grafana o Logstash (deseable). • Integrar herramientas de IA (Cursor, Claude) como parte del flujo de trabajo diario de desarrollo.

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management • Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals • Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale • Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment • Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency • Build canary and staging environments to ensure safe, progressive deployments and system resilience • Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication • Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments • Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance • Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures • Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Role Description We are seeking a Cloud Solutions Architect to design and govern cloud-native solutions across compute, networking, data, identity, and security domains on a major cloud platform. The role partners closely with business stakeholders, security architects, and engineering teams to translate strategic objectives into pragmatic, scalable, and cost-effective cloud architectures aligned with enterprise standards. The ideal candidate brings strong breadth across modern cloud capabilities, depth in at least one major provider, and the architectural judgment to balance time-to-market, cost, security, and long-term maintainability. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of experience in software engineering or solution architecture roles. - Deep expertise designing cloud-native solutions on at least one major cloud platform. - Strong understanding of cloud networking, identity, and security primitives. - Experience with cloud migration, modernization, and platform consolidation programs. - Strong understanding of containerization, serverless, and managed data services. - Excellent communication, facilitation, and stakeholder management skills. - Experience producing formal architecture artifacts and presenting them to senior leadership. - Track record of leading architecture reviews and influencing engineering direction. - Cloud architecture certification (AWS, Azure, or GCP). Requirements - Multiple cloud architecture certifications. - Experience with multi-cloud or hybrid cloud architectures. - Familiarity with enterprise architecture frameworks such as TOGAF. - Exposure to regulated industries with strict cloud compliance requirements. - Experience driving FinOps and cost transparency initiatives. Benefits - 100% Remote (U.S.) - Full-time, Direct W2 - Salary Range: $100,000–$150,000 Annually How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.