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Build and operate a cloud-native core banking platform using distributed systems, AI tools, and end-to-end ownership of services in production.
Build and maintain secure, scalable cloud-native banking systems using .NET, AWS, and CI/CD pipelines in a FinTech product company.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build and direct AI-native property-tech features end-to-end, owning scoping, delivery, and iteration while mentoring peers in a Laravel/Vue stack on AWS.
Principal CX Architect designs and delivers AI-native contact center solutions using Amazon Connect, Bedrock, and Lex, leading a team to build scalable conversational AI, routing, and analytics while ensuring production-grade reliability and security.
Build and scale backend services in Python for Fresco’s AI-powered IoT kitchen platform, handling device control, recipes, and cloud integrations on AWS Lambda.
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and maintain ETL/ELT pipelines and data integration solutions using SQL, Python, and cloud tools like AWS Glue and Lambda.
Build and automate the cloud infrastructure for a UK trading business using Terraform, AWS CDK, and GitHub Actions, ensuring reliable, secure, and observable deployments.
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Build cloud-native apps with React, Node.js, and C#; optimize SQL/PostgreSQL/DynamoDB; and deploy serverless/containerized services on AWS.
Build and maintain cloud-native apps using React, Node.js, and C# on AWS (Lambda, ECS, SQS, EventBridge), with Postgres/DynamoDB/SQL storage and Jest/Playwright tests.
Build and scale real-time, data-driven services using Java, Spring Boot, React, TypeScript, and AWS, focusing on microservices, APIs, and responsive UIs with live updates.
Senior QA Engineer designs and runs test strategies for Amazon Connect contact-center systems, builds automated test suites (Playwright, Cypress, Selenium), and validates AI-driven voice agents and serverless AWS backends.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
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