Teams at Fractal

Design, build, and maintain secure, scalable, production-grade Generative AI platforms and applications on AWS. Develop agentic AI, multi-agent, RAG, and Amazon Bedrock solutions; create reusable APIs, SDKs, and platform components; implement evaluation, governance, security, observability, and infrastructure automation. Build cloud-native microservices with Python, Terraform, Docker, Kubernetes, and CI/CD. Collaborate with engineering, security, product, and business teams while mentoring engineers and providing technical leadership.

Develop and maintain batch and streaming data pipelines on Google Cloud. Build complex data transformations, orchestrate ETL workflows, perform data migrations, and maintain data warehouses and data lakes. The role requires expertise in BigQuery, Composer, GCS, Cloud SQL, Dataflow, Dataproc, IAM, Python, SQL, and PySpark, along with strong database, data modeling, communication, and problem-solving skills.

Leads architecture, engineering execution, delivery governance, reliability, and innovation for large-scale enterprise programs using GCP and Google's first-party engineering ecosystem. Designs data, analytics, AI/ML, and platform systems; establishes engineering standards; oversees distributed teams, risk, dependencies, and production support; advises senior clients; and mentors technical leaders. The role requires hands-on expertise with Google Cloud services, distributed systems, software engineering, DevOps, MLOps, and Google's internal development, deployment, storage, observability, and code-review tools.