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Designs and scales secure cloud-based backend systems using Java/Kotlin/Scala in private and public clouds, following DevSecOps and distributed architectures.
Designs and builds a distributed, microservices-based data platform handling cataloguing, metadata, and high-volume workflows using Golang, Kafka, PostgreSQL, MongoDB, and Redis in Kubernetes.
Leads backend architecture for a cloud-native banking platform, building scalable features and mentoring teams to deliver global financial solutions.
Builds distributed systems in Rust and Python to process sensor data, detect threats, and deliver real-time insights for Augur’s privacy-first security platform.
Lead a backend team building and scaling a Python-based API platform for investment services, owning architecture and technical direction in a fintech environment.
Designs and scales backend services in Go/C++ that orchestrate real-time threat detection across CrowdStrike’s cloud platform using Kafka and containerization.
Build and secure Azure backend services for a risk infrastructure platform, shaping Terraform, CI/CD, and multi-tenant isolation for regulated enterprise customers.
Build and maintain cloud-native microservices on AWS (Lambda, SQS, API Gateway) using Python and PostgreSQL to power secure device services at scale.
Lead a small backend team building API-first infrastructure for a modern wealth-management platform, modernizing legacy adviser systems with Python and scalable services.
Build and scale a cloud security platform using Python, distributed systems, and data-intensive tools like Neo4j and ElasticSearch across AWS, GCP, and Azure.
Build the core orchestration engine for data and AI pipelines in Python, owning scheduling, execution, and state management from concept to production with Terraform.
Backend Developer builds and maintains secure, scalable AWS microservices in Python (FastAPI/Flask) to power Trustonic’s global device-financing platform, using Lambda, SQS, API Gateway, and PostgreSQL.
Lead a backend team building conversational AI systems using NLP, NLU, and cloud-native stacks; set architecture, mentor engineers, and drive CI/CD in a product-focused AI company.
Build and maintain low-latency data pipelines and trading systems in Python to forecast sports outcomes, using web scraping, Kafka, PostgreSQL, and Go for infra.
Build and maintain data infrastructure for a US private markets fund manager, using SQL, Python, and Power BI/Tableau to deliver analytics and reporting that inform investment and sales decisions.
Build and deploy ML models for insurance pricing and risk analytics using Python and SQL, shaping commercial strategies with large, complex datasets.
Build and maintain Azure-based data pipelines and ETL processes using Databricks and Medallion Architecture to feed enterprise reporting and analytics.
Build and optimize production fraud-detection models using Python, SQL, and Azure Data Lake to reduce false positives and improve accuracy.
Build ML pricing models using alternative data to challenge traditional strategies for a UK financial services firm, deploying on Azure ML and mentoring junior team members.
Build and maintain web apps and CMS systems for clients using the LAMP stack and bespoke CMS solutions.
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