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Build distributed backend systems and AI agent infrastructure for enterprise execution, integrating with ERPs, financial systems, and ensuring secure, traceable AI-driven workflows.
Build and maintain scalable data pipelines and lakehouse infrastructure for a high-profile client, using Python, Spark, Airflow, and Trino to deliver sales and finance analytics with a strong DataOps focus.
Build and own AI features for a construction tech startup, spanning LLM optimization, document processing, and full-stack development to solve real-world problems for professionals.
Build and own AI agent infrastructure and automation systems that integrate LLMs with internal tools and data platforms to streamline marketing operations at scale.
Lead Software Engineer in Scotiabank's Global Banking and Markets division, building and maintaining capital markets analytics platforms and data pipelines using Python, Databricks, and cloud services (Azure/GCP).
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on…
Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase,…
Build and scale messaging APIs and backend services for a creator-marketing platform, modernizing legacy PHP systems into Node.js microservices while integrating with Google/Microsoft APIs and supporting AI agent workflows.
Develops and maintains big data pipelines, processes large-scale data using Hadoop/Hive, and builds real-time ingestion systems with Python/PySpark. Focuses on ETL, data modeling, and cloud/on-prem big data platforms.
Architect and scale AI-powered backend systems (document extraction, entity resolution, RAG, conversational interfaces) for an AI-native asset management platform focused on healthcare and real estate, using Node.js/TypeScript and PostgreSQL.
The Senior Data Infrastructure Engineer will design, build, and maintain the company's data platform, including pipelines, data warehouses, and BI reporting. The role focuses on scaling data infrastructure using AWS, Spark, and orchestration tools like Airflow or Dagster to support cybersecurity operations.
The Lead Engineer for the Data Platform will design and manage a hybrid enterprise data platform, leading a team to build scalable infrastructure using Snowflake, Apache Airflow, and Kafka. This role involves setting technical roadmaps, ensuring system reliability, and mentoring engineers in a regulated financial environment.
A hands-on engineering role where you partner with enterprise customers to design, prototype, and deliver integrations, automations, and AI workflows for HR, payroll, and workforce management systems using modern cloud technologies.
Builds scalable backend services, data pipelines, and infrastructure for a fintech commodities trading firm, enabling data-driven decisions and product innovation.
Designs and maintains data infrastructure and pipelines to support AI-driven products, curates high-quality datasets, and collaborates with AI engineers and external data providers.
Platform Engineer building, automating, and operating a cloud-based data platform with a primary focus on Snowflake, CI/CD pipelines via GitLab, and AWS/Azure cloud services.
The Data Scientist will design and deliver training programs, mentorship, and technical documentation for data science teams while maintaining hands-on development work. The role requires advanced Python and SQL skills, experience with Git workflows, and an active TS/SCI with Polygraph security clearance.
Data Engineer building ETL pipelines and migrating legacy data for the DEA's case management modernization program using SQL, Python, and cloud data platforms.
Principal Product Manager designing and governing agentic AI architecture—LLM agent chaining, context graphs, telemetry, and evaluation frameworks—for Zeta Global's AI-powered marketing cloud platform.
Build and scale a cloud-native healthcare data platform that ingests, normalizes, and exchanges clinical and claims data using modern full-stack tools and secure, compliant architectures.
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