Lead DevOps/AIOps Engineer

Blend360 is a premier data, AI, and marketing consulting firm that partners with the world's most ambitious organizations to turn complex challenges into competitive advantage. We sit at the intersection of deep analytical rigor and pragmatic business execution—helping Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise. Blend360 is looking for a Lead DevOps / MLOps Engineer to help architect, automate, and operationalize modern cloud-based data and AI platforms for enterprise clients. This role sits at the intersection of cloud infrastructure, data engineering, machine learning, and software delivery, with a strong emphasis on Google Cloud Platform (GCP). We’re looking for someone who can move comfortably between architecture and hands-on engineering—designing scalable solutions, establishing DevOps and MLOps best practices, and helping engineering teams reliably move data and AI workloads into production. What you'll do: Lead the design and implementation of cloud-native DevOps and MLOps architectures on GCP. Build and optimize CI/CD pipelines for data, ML, and application workloads. Develop infrastructure-as-code using tools such as Terraform and establish repeatable deployment patterns. Architect and operationalize data platforms leveraging BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer. Build MLOps capabilities supporting the full ML lifecycle, including model development, deployment, monitoring, versioning, and retraining. Establish observability across data and ML platforms, including logging, monitoring, alerting, pipeline health, data quality, and model performance. Implement secure, scalable cloud infrastructure using GCP IAM, networking, secrets management, and appropriate security controls. Partner with Data Engineers, ML Engineers, Architects, and client stakeholders to translate business requirements into production-ready technical solutions. E