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Design and build high-performance, distributed backend services in Go, driving event-driven systems with Kafka/RabbitMQ and shaping scalable microservice architectures.
Build and maintain core banking microservices and APIs on Kubernetes, focusing on transaction systems like deposits, loans, and interest management using Java/Spring and cloud-native tools.
Build secure APIs, dashboards, and AI-powered financial research tools for a market-intelligence platform, integrating market data and collaborating with engineers, analysts, and product teams.
Build and maintain full-stack web apps for regulatory and compliance solutions using React, Node.js, Python, or Java, with cloud deployment on AWS/Azure/GCP.
Build and maintain web apps for a fast-growing e-commerce company using Node.js, React, and cloud services like AWS.
Build and maintain scalable, secure applications and APIs for an adtech/devtools company, using Java, Python, or Go and cloud platforms like AWS/Azure.
Builds and maintains government-facing web apps using React and Node.js, ensuring compliance with strict standards and deadlines.
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Senior Database Administrator to own and optimize PostgreSQL and AWS database infrastructure for a global payment platform, ensuring high availability, security, and performance for mission-critical systems.
Systems Analyst/Programmer designs and maintains digital applications for a New Zealand-focused fintech team, gathering requirements, creating specs, and collaborating with global Agile teams.
Builds and maintains scalable platforms, designing APIs and services while working across frontend and backend stacks using modern tools like React, AWS, and Docker.
Builds Python-based data pipelines and AI/ML integrations for life-science labs, translating assay workflows into Benchling, AWS, and FastAPI services while ensuring regulatory compliance.
Build and maintain scalable data pipelines and real-time processing using Kafka, Databricks, Spark, and Airflow to power gaming, sportsbook, payments, and marketing systems.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Designs and builds scalable data infrastructure and ETL pipelines using Python, Java, SQL, and cloud tools to support analytics and ML.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and cloud tools to support analytics and decision-making.
Designs and builds scalable big-data infrastructure and ETL pipelines using Python, Spark, and cloud services to support reporting and analytics.
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