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Builds full-stack analytics tools for risk, quant, and trading using C#, Python, React, and .NET Core with Agile/DevOps practices.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
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.
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and maintain data pipelines and models for a market-abuse surveillance system using Python, Java, SQL, and AWS tools to process trade, market, and communications data.
Build and maintain secure, scalable backend services for a fast-growing fintech lender using Node.js, TypeScript, NestJS, PostgreSQL, and AWS.
Build and optimize AWS-based DevOps pipelines, automate infrastructure with CloudFormation/CDK, and ensure reliable CI/CD deployments for HR software.
Design and manage secure, scalable AWS cloud infrastructure using IaC and CDK, automate CI/CD pipelines, and leverage AI tools to accelerate DevOps workflows while ensuring observability and security compliance.
Design and run secure, scalable AWS cloud infrastructure for a global fintech broker, using IaC (AWS CDK), Kubernetes, CI/CD, and AI-assisted tools to automate deployments and observability.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and GitHub Actions.
Senior Platform/DevOps Engineer designs and delivers enterprise-grade cloud platforms on GCP/AWS/Azure, automates infrastructure with Terraform/Kubernetes, and mentors junior engineers while acting as a trusted adviser to clients.
Builds cloud-native apps on AWS, designs AI agents using LLMs, and automates workflows with Python/.NET and agentic frameworks like LangChain.
Leads full-stack development with Node.js/React, Supabase, and AWS while owning CI/CD, AI-driven workflows, and mentoring engineers.
Build and lead a full-stack system using Node.js (NestJS/Express), React, Supabase, and AWS, while integrating AI tools for coding, testing, and automation in an edtech environment.
Build and deploy generative AI solutions end-to-end, from LLMOps pipelines to cloud-native production systems, while collaborating with cross-functional teams to deliver client-ready AI applications.
Designs and builds cloud-native Java applications using Spring Boot, REST APIs, and microservices on AWS with Docker, IaC, and CI/CD pipelines.
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