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Build and own full-stack features using Python backend APIs and React/Next.js frontend for an analytics platform serving global enterprises.
Deploy and modernize ML infrastructure on Kubernetes, ensuring secure, scalable systems for data processing, model training, and prediction serving using Azure, Docker, Terraform, and Helm.
Design and lead enterprise Java and Big Data solutions using Spring Boot, Spark, and cloud platforms, mentoring teams and ensuring scalable, secure architectures.
Builds and maintains cloud-native enterprise apps using Java, Scala, Spring Boot, React/Vue, Kafka, and Azure; designs microservices, REST APIs, and CI/CD pipelines.
Build and automate ML pipelines and cloud infrastructure on Azure/AWS, orchestrating Kubernetes/Docker systems and CI/CD to serve ML models at scale.
Senior role administering Databricks environments and developing enterprise Python applications to modernize data platforms and migrate legacy workloads.
Build and maintain scalable Python backend services for a trading platform, focusing on data ingestion, integrity, and API integrations in a fast-paced financial environment.
Build and optimize Python-based data pipelines and ETL processes using AWS Redshift, Glue, and EMR to deliver analytics solutions for clients.
Build and scale core data platform components in Java that power AI-driven revenue analytics and enterprise workflows, ensuring reliability and performance for millions of daily data processes.
Build and run the production infrastructure for Ingersoll Rand’s GenAI program, automating CI/CD, observability, and reliability for LLM-powered apps on GCP and Snowflake.
Design and maintain JLL’s global data platform on Azure, using Terraform, Kubernetes, and CI/CD to deliver scalable infrastructure, monitoring, and cost governance for real-estate analytics.
Build and operate the cloud and DevOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and observability for LLM-based applications.
Build and operate the cloud and MLOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and AI observability.
Senior backend engineer building scalable data pipelines and REST APIs in Node.js/Java on AWS, using Terraform and PostgreSQL/DynamoDB.
Designs and integrates data-collection systems, builds ETL pipelines, and analyzes datasets for a government sponsor, including mobile-app data and public-domain sources.
Data & AI Architect Senior technical authority for data and AI across CBRE Pacific Design & Connect technical choices to business strategy Hybrid/Sydney CBD | Land of the Gadigal people The Opportunity: CBRE is…
Build and maintain Go-based data pipelines, real-time analytics, and ML models for a large-scale messaging platform using Kafka, ClickHouse, and Kubernetes.
Principal Data Engineer leading secure, scalable cloud data pipelines and platforms at British Airways, ensuring high availability and performance for data products and decision-making.
Lead the design and operation of secure, scalable data pipelines and platforms that power analytics and decision-making across a government-linked organization.
Build and optimize a modern cloud-first data ecosystem for a fintech retailer, using Azure, Databricks, and PowerBI to create analytics and reporting solutions that drive operational efficiency and compliance.
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