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Build and scale Adyen’s on-premise big-data platforms (500+ nodes, 23+ PB storage) to support thousands of daily jobs, focusing on OLAP tools like Druid, FastAPI, Java, and Kafka.
Preferred Qualifications Experience with Trino, Spark SQL, DuckDB, Calcite, or similar query engines. Kubernetes, Docker, CI/CD, and platform engineering. Passion for building developer platforms and AI-native…
We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies…
Senior Python Developer building and supporting business-critical Django applications for a banking client, managing the full service lifecycle with a focus on security, performance, and reliability.
The Platform Engineer will design, deploy, and maintain data platforms using AWS, Terraform, and CI/CD pipelines. The role involves collaborating with cross-disciplinary teams to build scalable infrastructure and integrate data governance tools.
The Senior Data Engineer will design, build, and maintain large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. The role focuses on ingesting and transforming massive datasets to support enterprise analytics and machine learning workloads.
Für unser Geschäftsfeld Data, Security and Identity im Tribe Data Management and Governance (DSIDMG) suchen wir dich in Voll- oder Teilzeit ab 30 Wochenstunden als Software Engineer Data Integration Hub (m/w/d) in…
Builds and maintains backend services for RBC’s metadata management platform, focusing on Python, MongoDB, and RESTful APIs to ensure data governance, compliance, and scalability in financial services.
Builds and scales Harvey’s data platform to enable secure, self-serve data access for product, analytics, and ops teams, focusing on Snowflake ingestion, CDC, orchestration, real-time processing, and governance for a high-growth AI-driven legal services company.
Build and own Harvey’s data platform—ingesting, processing, and serving data securely for AI-driven legal services, ensuring reliability, governance, and real-time capabilities.
Works as a Security Incident Response Engineer at Stripe, analyzing threats using user/entity behavior analytics and endpoint hardening, with core technologies including Python, SQL, log analysis, and incident response tools.
Builds automated security tooling and CI/CD integrations to scale Starburst’s application security program, using AI to streamline vulnerability detection, triage, and remediation in a distributed data environment.
The Senior Application Security Engineer will own and mature the product security program, implementing secure-by-default patterns and automated vulnerability management across Starburst's distributed data platform. The role involves hands-on engineering, red-teaming, and direct engagement with enterprise customers regarding security posture.
Owns cloud data infrastructure for Exiger’s AI-native supply chain platform, managing PostgreSQL, Snowflake, and AI workloads (vector search, embeddings) across AWS environments while ensuring compliance, performance, and cost optimization.
Deploys and operates secure, open-source data platforms for U.S. Department of Defense missions, integrating with legacy systems and ensuring compliance with strict security requirements.
В Стратосфере мы занимаемся разработкой программного обеспечения для банков, ритейла и телекома, сотрудничаем с Яндекс, МТС, ВКонтакте, Ингосстрах, Купер и др. Мы дадим тебе возможность поработать на социально-значимых…
The Data Engineer will design and implement real-time and batch data processing platforms, focusing on event-driven architectures and data pipelines. The role involves collaborating with DevOps teams to build scalable solutions for clients in the energy, utilities, and manufacturing sectors using technologies like Python, SQL, Kafka, and Spark.
Senior ML engineer builds and scales AI infrastructure for marketing SaaS, running training pipelines, APIs, and Kubernetes workflows on GCP to turn customer data into actionable insights.
Own and maintain a Python/Django application for a banking client, handling risk-control data, integrations, and deployments in a Linux environment with Celery/Redis and CI/CD.
Owns and develops Python-based banking applications for risk/control data, ensuring compliance, performance, and security while bridging business and technical teams.
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