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Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Build and maintain distributed data pipelines and cloud services using Python, PySpark, and AWS (Glue, Lambda, ECS) to deliver reliable, high-performance data APIs and integrations.
Build and maintain robust data pipelines on AWS to centralize and process terabytes of media audience, adserver, CRM, and radio data, using Python, PySpark, and SQL to deliver actionable insights and KPIs for advertising, streaming, and CRM teams.
Build and maintain data pipelines for AI-driven SaaS products (DemandSens, Sellia) using Airflow, Python, and cloud services (AWS/Azure) to power predictive analytics and sales forecasting.
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Designs and maintains cloud and hybrid infrastructures with a focus on Kubernetes (EKS), migrating workloads from ECS and automating deployments with observability via Prometheus, Grafana, and ELK.
Build and secure cloud-native AI/ML pipelines on AWS for an aerospace group’s data factory, automating CI/CD, enforcing DevSecOps, and operating Kubernetes clusters.
Build and maintain AWS cloud infrastructure, automate deployments with DevOps practices, and migrate on-prem systems to the cloud using Terraform, Docker, Kubernetes, and CI/CD pipelines.
Build and secure cloud-native AI/ML pipelines on AWS: set up GitLab CI/CD, enforce DevSecOps practices, and operate Kubernetes clusters for data and model services.
Build and automate cloud-native pipelines on AWS, Kubernetes, and GitLab to deploy and monitor scalable applications for clients.
Build and maintain cloud-native CI/CD pipelines on AWS, containerized services with ECS/Kubernetes, and set up monitoring with Prometheus and Grafana.
Build and maintain scalable, secure AWS cloud infrastructure and CI/CD pipelines using Terraform, Kubernetes, and Python to automate deployments and operations.
Build and maintain scalable cloud and on-prem AI infrastructure, automate CI/CD pipelines, and ensure secure, high-performance deployments for enterprise AI solutions.
Senior DevOps Engineer builds and maintains scalable AWS infrastructure, CI/CD pipelines, and IaC for a fintech product, collaborating with cross-functional teams to ensure high availability and performance.
Build and maintain AWS infrastructure for a proptech platform, using Terraform, Kubernetes, and CI/CD to improve reliability, security, and developer experience for real-estate software teams.
Senior backend engineer building scalable RESTful APIs in Python (Flask/FastAPI) on AWS, using Terraform for infra, while mentoring junior devs and leading Scrum ceremonies.
Build and maintain scalable backend services (REST/GraphQL) in JavaScript/TypeScript or Python, integrating relational and non-relational databases while applying modern cloud and architecture patterns.
Build and maintain AWS-based infrastructure and CI/CD pipelines for clients, using Terraform, Kubernetes, and Docker to automate deployments and ensure reliability.
Senior AWS DevOps Engineer designs, automates, and maintains cloud infrastructure for multiple clients, focusing on AWS, CI/CD pipelines, and migrations while ensuring high availability and security.
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