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Build and deploy scalable Java-based microservices and full-stack apps using Spring, React, and cloud platforms (Azure/AWS).
Build and ship full-stack web apps using React/Vue on the front-end and PHP (Laravel) or Node.js on the back-end, with MySQL/PostgreSQL/MongoDB/Redis and Docker-based CI/CD.
Build and expand a full-stack monolith for the wedding and real-estate industry, integrating AI agents, payments, and CRM while owning end-to-end features in Next.js, Prisma, and PostgreSQL.
Build and evolve global React Native mobile apps for fitness services, collaborating with cross-functional teams to deliver high-quality experiences using TypeScript, React Navigation, and REST/GraphQL APIs.
Build and maintain cloud-based CI/CD pipelines, automated build/test systems, and infrastructure for a fintech company, ensuring secure, compliant, and cost-efficient software releases.
Builds the AI-powered agentic interface for a visitor-attractions analytics platform using React, TypeScript, and AI tooling to deliver streaming dashboards and data-driven decisions.
Build and optimize cloud-native data infrastructure and AI platforms on AWS/GCP, using Terraform, Kubernetes, and CI/CD pipelines to support high-scale AdTech workloads.
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
Build and optimize cloud-native data infrastructure and CI/CD pipelines for a global AdTech platform handling massive real-time workloads using AWS/GCP, Kubernetes, and Terraform.
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Backend developer building and maintaining APIs and marketplace connectors for fashion brands, ensuring seamless product data, stock, and pricing sync with platforms like Amazon and Zalando using .NET/C#.
Build and maintain the Elastic Stack-based observability platform, writing Java/Python tooling to ingest logs, automate pipelines, and create Kibana dashboards for a global financial messaging network.
Designs and maintains cloud infrastructure and CI/CD pipelines to deploy and operate AI models in production, collaborating with AI teams and automating ML workflows.
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Own and optimize AWS-based database infrastructure (RDS, DynamoDB, DocumentDB) to ensure performance, reliability, and security for a cloud-native platform.
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