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Build and lead enterprise insurance applications using Java/Spring, Angular, and AWS, while leveraging AI coding tools to accelerate development and improve code quality.
Builds and maintains cloud-native customer engagement platforms using Python and AWS, including Amazon Connect, serverless apps, and APIs for scalable business solutions.
Build and maintain AWS-based contact-center solutions using Amazon Connect and Python, integrating serverless services like Lambda and DynamoDB to support scalable customer engagement and analytics.
Build and maintain AWS-based contact-center solutions using Python, serverless Lambda, and Amazon Connect, integrating with DynamoDB, S3, and CI/CD pipelines.
Lead a backend engineering team building cloud infrastructure for next-gen vehicle platforms, processing real-time vehicle data and deploying AI-driven features in Go.
Build and automate cloud infrastructure and CI/CD pipelines for client products using Python/Java, Docker, Kubernetes, and AWS tools.
Build and maintain cloud-based payment intelligence and AI-enabled data products using Python/FastAPI, React, and AWS for global financial institutions.
Build and maintain backend systems and APIs for an IoT connectivity platform using Node.js, NestJS, TypeScript, and React, while collaborating on a customer-focused analytics product.
Build AI-powered cybersecurity tools: design LLM pipelines, retrieval systems, and MCP infrastructure to help security leaders assess risk with trustworthy, actionable insights.
Build and maintain scalable data pipelines and cloud-based platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Graduate backend developer building subscriptions, payments, and analytics in Postgres and serverless functions, occasionally contributing to Flutter apps for a pre-launch startup in Sydney.
Build and deploy cloud-native apps using .NET, ReactJS, and Terraform on AWS/Azure, while owning CI/CD pipelines and DevOps practices for scalable enterprise solutions.
Build and maintain DigiBoox’s cloud-native stack on GCP, Kubernetes, and Terraform, integrating Java apps and fintech APIs while setting up observability with OpenTelemetry and Grafana.
Build and maintain high-performance Java web apps and REST APIs, troubleshoot issues, and mentor junior devs while supporting Angular frontends and cloud-native systems.
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
Design and implement scalable AWS data engineering solutions for enterprise customers, advising on analytics and ML architectures while managing complex cloud migrations and projects.
Designs and builds scalable AWS data pipelines and ETL workflows using PySpark, AWS Glue, and serverless components to power analytics and BI.
Build and maintain scalable data pipelines using PySpark on AWS, including ETL/ELT workflows with Glue and Step Functions, serverless automation with Lambda, and IaC with Terraform.
Build and lead a production-grade conversational AI system using LLMs, RAG, and guardrails; own the full stack, infrastructure, and security for a live AI agent answering user queries.
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