Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and lead large-scale .NET full-stack systems for CBA’s wealth platforms, using ASP.NET Core, React, AWS, and event-driven architectures to power high-volume customer journeys.
Build and maintain scalable data pipelines, integrate diverse data sources, and ensure high-quality data processing for analytics and ML using tools like Talend, PySpark, and SQL.
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and ML.
Software Engineering Manager - Data Platform Location: Edinburgh, UK Department: Data Architecture & Integration Who We Are Addepar is a global data and AI platform empowering investment professionals to turn…
Build and maintain cloud-native data pipelines and warehouses to power AI/ML models and analytics for a PropTech client, using Python, Spark, SQL, and tools like Snowflake, Airflow, and Kafka.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Principal Engineer to architect and own a large-scale streaming platform using Apache Flink, Kafka, and AWS, defining APIs, control-plane services, and operational excellence for near-real-time data processing.
Principal CX Architect designs and delivers AI-native contact center solutions using Amazon Connect, Bedrock, and Lex, leading a team to build scalable conversational AI, routing, and analytics while ensuring production-grade reliability and security.
About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent…
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Lead the architecture and development of scalable, cloud-native data platforms using Python and AWS services, designing robust ETL/ELT pipelines and mentoring engineering teams.
Build and maintain AWS-based contact-center solutions using Amazon Connect and Python, integrating serverless services like Lambda and DynamoDB to support scalable customer engagement and analytics.
Build and maintain AWS-based contact-center solutions using Python, serverless Lambda, and Amazon Connect, integrating with DynamoDB, S3, and CI/CD pipelines.
Build and maintain cloud-native backend services for a global real-time messaging platform powering customer and enterprise communications using TypeScript/Java and distributed systems.
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by…
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.
Build and maintain scalable data pipelines and ML models to power Kogan.com’s eCommerce operations, enabling data-driven decisions across marketing, logistics, and finance.
Design and implement scalable AWS data engineering solutions for enterprise customers, advising on analytics and ML architectures while managing complex cloud migrations and projects.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
