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Lead a team to design, build, and run resilient Big Data platforms handling high-volume data pipelines from ingestion to storage, using technologies like Spark, Kafka, and Hadoop.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Senior Data Engineer building AI-ready data pipelines, RAG/vector search infrastructure, and data governance solutions using Python, Airflow, Kafka, and vector databases like pgvector and Pinecone.
ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно…
Valence is seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform — with a growing focus on securing modern SaaS and AI-powered application ecosystems . At Valence, we protect…
This role is for a full-stack engineer to build a data intelligence platform using Scala/Java and TypeScript/Angular. The position emphasizes the use of AI coding assistants like Cursor and Claude Code to accelerate development within a SaaS environment.
Software Developer in Test at an AI enablement consultancy, designing and implementing automation frameworks and testing solutions for clients across industries using Java/C#/TypeScript/JavaScript and tools like Playwright, Selenium, Cypress, or RestAssured.
Senior Data Engineer focused on LLM & RAG architectures for a major telecom group, designing scalable data pipelines, optimizing vector databases and RAG solutions, and building AI services with FastAPI using Python, SQL, Spark/PySpark on Azure/Databricks.
Data Engineer building and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, designing Data Lakehouse architectures primarily on Azure Cloud for a consulting firm serving diverse sectors.
Data Engineer building cloud data-processing apps on Azure using Python/Java/Scala, Spark ETLs, and Azure Databricks, with CI/CD and DevOps practices for an AI and Big Data services company.
Data Engineer building and deploying cloud-based data processing applications using Azure, Python/Java/Scala, Spark ETLs, and Azure Databricks with CI/CD practices.
Lead Data Engineer designing and overseeing end-to-end data pipelines (ingestion, transformation, loading) on the SimpliFi Data Pool—an Azure-hosted repository using Data Vault 2.0, Databricks, Azure Synapse, Informatica IDMC, and PowerBI—while mentoring engineers and enforcing data governance.
Builds and maintains scalable data pipelines, migrates Hadoop to cloud infrastructure, and ensures data quality/availability using Scala, Spark, and cloud tools like Kubernetes and Airflow.
Backend Engineer building and operating backend applications (PHP, Java, SpringBoot, Kotlin, MySQL/AuroraDB) for PayPay Securities' mobile brokerage platform within the PayPay fintech ecosystem.
Build ML models to predict and reduce churn for streaming services, using Python, PySpark, and classical ML on large-scale user data.
Build ML models to predict and reduce churn for streaming services, analyzing subscription and engagement data to drive retention strategies.
Senior security-focused role analyzing AWS environments, integrating security into DevOps, and mitigating risks in AI tools and cloud infrastructure.
Build and maintain ETL/ELT pipelines on Microsoft Fabric to ingest and transform raw data into reliable datasets for analytics and BI, using Delta Lake, Spark, and cloud platforms.
The Software Engineer Specialist will build and evolve scalable cloud foundation services for Esko's SaaS products using Java, distributed systems, and cloud-native technologies. This hands-on role involves translating architectural designs into production-ready code, mentoring team members, and improving platform reliability and performance.
Build and maintain backend services and platforms for Wi-Fi network design/optimization apps using Java, Spring Boot, Node.js, TypeScript, AWS, and PostgreSQL.
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