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Senior DevOps/MLOps engineer building and running scalable platforms for ML/AI workloads, CI/CD, Kubernetes, and cloud infrastructure on AWS.
Design and maintain cloud-native services and CI/CD pipelines for university and research systems using AWS, Kubernetes, and GitOps tools.
Build and maintain scalable cloud infrastructure for an AI-powered translation platform, automating deployments with Docker Swarm, AWS, and GitHub Actions while supporting development teams.
Senior Java developer building and maintaining a ticketing and visitor-management platform for attractions, using Java, SQL, Tomcat, AWS, and CI/CD.
Build and maintain a scalable ticketing and visitor-management platform for leisure attractions using Java, AWS, and relational databases.
Designs, deploys and operates Azure-based cloud infrastructure for AI-driven applications, focusing on Kubernetes, CI/CD and observability while collaborating on solution architecture.
Designs, deploys and operates Azure cloud infrastructure and Kubernetes clusters for data-driven and AI-enabled applications, focusing on CI/CD, observability and security.
Designs, deploys and operates Azure cloud infrastructure and Kubernetes clusters for AI-enabled applications, focusing on CI/CD, observability and enterprise-grade security.
DevOps Engineer maintains Docker Swarm, AWS infrastructure, and CI/CD pipelines to keep Translated’s AI-powered translation platform stable and scalable.
Develop and maintain backend services in Node.js/TypeScript, design scalable APIs, and integrate AI-driven features for a tech company serving clients like Airbnb and Amazon.
Build a cloud-native data platform for a fintech startup, integrating AI/OCR/NLP to streamline mortgage processes and deliver accurate reports for operations and business teams.
Build and maintain secure, scalable cloud infrastructure for a fintech payment platform using AWS, Docker, and automation tools to ensure high availability and PCI compliance.
Build and maintain Java-based microservices using Spring Boot, PostgreSQL, and AWS in a CI/CD pipeline with Jenkins and GitHub.
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.
Lead a Data Engineering team at a global ad-tech DSP, building scalable pipelines, feature stores, and data-quality frameworks to power real-time bidding ML models in a high-growth mobile advertising platform.
Build Python tools and AWS cloud-native apps to automate energy trading workflows and data pipelines for a large European energy portfolio.
Build and maintain large-scale data pipelines and cloud infrastructure using AWS, Spark/Scala, Python, and SQL to power analytics and ML workloads.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and maintain a global ad-tech platform using React, Node.js, and TypeScript, collaborating with cross-functional teams to deliver scalable, user-centric features.
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
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