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Build and maintain customer portals using React for the front end and Node.js/Java/Spring Boot for the back end, with PostgreSQL, Elasticsearch, Redis, and GCP.
Build full-stack apps with a strong UI focus using React/TypeScript on the frontend and Node.js on the backend, deploying on AWS and optimizing performance.
Mid-level Full-Stack Engineer builds and maintains customer portals using React, Node.js, Java/Spring Boot, PostgreSQL, Elasticsearch, Redis, and GCP for a 6-month client project.
Build and maintain scalable data pipelines, ETL/ELT workflows, and Tableau dashboards to transform raw data into actionable insights for clients.
Build and maintain scalable data pipelines and APIs for a cybersecurity ratings platform using Scala, Spark, and AWS.
Build and maintain full-stack systems for fulfillment, logistics, and labor tracking that power CookUnity’s meal delivery operations using TypeScript, Node.js, React, and PostgreSQL.
Build and maintain a scalable SaaS platform using Java, React, SQL, Redis, and Elasticsearch, owning architecture and CI/CD while collaborating with product teams.
Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Designs and operates cloud-native data infrastructure on AWS (EKS, RDS), automating pipelines and ensuring performance, availability, and scalability for production databases.
Build a secure, scalable cloud platform end-to-end: React/Vue UIs, C# or Go backends, relational and NoSQL databases, and CIAM identity flows on AWS/GCP/Azure.
Build and maintain Python REST APIs (FastAPI/Flask) and React/TypeScript frontends for a marketing analytics platform, validating data from ETL pipelines and ML models while using AI tools critically.
Мы создаём интеллектуального агента, способного автономно выполнять задачи полного цикла разработки (PDLC) – от анализа требований до написания кода, тестирования и сопровождения. Продукт разрабатывается внутри банка и…
Maintains and optimizes PostgreSQL databases and Redis architectures for a data-focused company, automating operations in a hybrid work setup.
Build and maintain a modern AWS-based data platform for a large bank, designing data pipelines and lakehouse architecture to power AI and analytics solutions.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Lead a team of Data Engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms (GCP, AWS, Azure).
Build and maintain Piano’s real-time Big Data pipeline (ETL) in Java/Go, processing hundreds of thousands of events per second with Kafka, Redis, and cloud infrastructure.
Design and build a next-gen, real-time data pipeline for GitGuardian’s secrets detection platform, migrating from batch to streaming and adding agentic AI layers.
You maintain and automate production systems, deploy code, and troubleshoot incidents using Linux, Kubernetes, Jenkins, and monitoring tools like Grafana and ELK.
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