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Design and build scalable AWS data pipelines that ingest from DynamoDB, Aurora PostgreSQL, and Neptune, then curate them into an Apache Iceberg-based data lake and orchestrate with Airflow.
Designs and builds scalable AWS data pipelines, data lakes on S3 with Apache Iceberg, and Airflow workflows for CDC and batch ingestion from DynamoDB, Aurora PostgreSQL, and Neptune.
Build and maintain Java-based backend services while integrating AI features and agent workflows using modern frameworks like LangGraph or MCP.
Builds and maintains Java-based backend systems and REST APIs while integrating AI tools and agent workflows to enhance development and automation.
Designs and evolves an enterprise data platform architecture on cloud technologies (GCP, BigQuery) to support scalable, secure, and AI-ready data solutions, while mentoring engineers and aligning with business goals.
Build and deploy AI models to improve vehicle search, content generation, and SEO/GEO for an automotive-focused platform, using NLP, LLMs, and ranking systems.
Leads large, multi-year AI and software programs for global clients, owning delivery, governance, and stakeholder alignment across distributed teams and vendors.
Designs and implements end-to-end QA strategies and automation frameworks for AI-powered staffing and services software, using tools like Playwright, Selenium, and Azure DevOps.
Senior Data Scientist designs and refines ML scoring models (CTR, CVR, RoAS) for bidding logic, collaborates with stakeholders, and ensures production-ready solutions using PyTorch/TensorFlow and GCP.
Senior Product Analyst drives data-backed decisions for ML Scoring products, designing experiments, optimizing SQL queries, and translating business goals into KPIs and actionable insights.
Leads a team to build and deploy ML scoring models (e.g., click/conversion predictions) using Python, TensorFlow/PyTorch, and GCP, while aligning with business metrics and cross-functional stakeholders.
Design and build scalable AWS data pipelines ingesting from DynamoDB, Aurora, and Neptune into S3-based Iceberg data lake layers (Raw/Canonical/Curated), while maintaining Airflow orchestration and CI/CD for data platform deployment. Core technologies include Python, AWS Glue/Athena/Lake Formation, dbt, Apache Iceberg, and Terraform.
🟣 You will be: developing and maintaining modern, scalable frontend applications, building responsive, accessible, and user-friendly interfaces, collaborating with cross-functional teams to deliver high-quality…
🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based…
🟣 You will be: delivering the entire global network backbone infrastructure across multiple AWS regions, building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and…
🟣 You will be: seting up and configuring the data platform infrastructure in Azure and Databricks, designing and implementing CI CD and deployment pipelines for data workloads, establishing and managing environments…
🟣 You will be: building and maintaining dashboards using Power BI on top of Databricks based data, designing and implementing semantic and presentation layers for analytics, translating business requirements into data…
🟣 You will be: working from the office 2-3 times a week, designing, building, and maintaining robust automated test suites for web and mobile applications using Selenium and BDD frameworks (Cucumber), developing and…
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable…
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