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Design and maintain secure Azure CI/CD pipelines and Infrastructure-as-Code using Terraform to automate cloud deployments and governance.
Mid-level DevOps engineer maintains CI/CD pipelines, automates infrastructure with Ansible, and supports Kubernetes/AWS deployments for mission-critical FX systems in a regulated environment.
Junior DevOps Engineer maintaining CI/CD pipelines, AWS and bare-metal infrastructure, and monitoring tools while collaborating with global teams in a mentorship-driven role.
Build and maintain backend services in Java/Kotlin, design event-driven architectures with Kafka/RabbitMQ, and lead software delivery for global clients.
Build and scale a modern Ads platform handling campaign management, targeting, delivery, and reporting using distributed systems and APIs in a fast-moving AdTech environment.
Lead OS upgrades, patch CVEs, and secure cloud/SaaS infrastructure using AWS/Azure/GCP, Terraform, Ansible, and Okta for a global IT consultancy.
Build backend infrastructure connecting LLMs and AI agents to real-time energy data via Python microservices on GCP, ensuring 24/7 reliability and scalability.
Build AI-native backend systems in Python that connect LLMs and agents to real energy data, deploying microservices on GCP and integrating APIs for 24/7 production use.
Build and maintain cloud infrastructure and CI/CD pipelines for global clients using Kubernetes, Terraform, and Azure/AWS/GCP.
Build and maintain scalable, low-latency banking infrastructure in Go, ensuring data integrity and supporting high-volume account systems for fintech clients.
Build and maintain the global money-transfer platform’s infrastructure, automate deployments, and ensure 99.98% uptime while collaborating with dev teams on scalable, secure systems.
Build and optimize a large-scale pet-products marketplace using Java, Spring Boot, and event-driven microservices on AWS/Azure/GCP.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Build and modernize cloud-native apps using Node.js and Angular on AWS, migrating legacy COBOL systems to scalable microservices.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Lead the design and development of scalable data solutions using Python, SQL, Databricks, and Microsoft Azure for cloud-based data platforms.
Lead the design and development of scalable data pipelines and cloud-based data solutions using Python, AWS, and Databricks, while mentoring engineers and guiding technical decisions.
Lead the design and development of scalable data solutions using Java and Microsoft Azure, including Databricks pipelines and SQL analytics, while mentoring the engineering team.
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