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Senior DevOps Engineer builds and maintains AWS cloud infrastructure, Terraform IaC, and CI/CD pipelines for intelligence software, ensuring security, observability, and reliability.
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Design and operate scalable cloud platforms using AWS, Kubernetes, and Terraform to automate deployments and improve developer productivity, with AI-driven tools for infrastructure and incident analysis.
Design and maintain AWS cloud infrastructure and DevOps pipelines for government clients, using Terraform, Python, and automation tools to enable secure, scalable hybrid cloud environments.
Builds AI prototypes on AWS for enterprise use cases, focusing on agentic workflows and multi-agent orchestration using Bedrock, Lambda, and Step Functions.
Build and maintain distributed Python/React applications using microservices, event-driven architectures, and AI-enhanced DevSecOps on AWS for complex business environments.
Build modern, distributed full-stack apps with React/Next frontend and Python (Django/FastAPI/Flask) backend, deploying on AWS and leveraging AI to accelerate delivery.
Build and evolve backend services in Java/Spring for a spatial-data platform, using Kafka, Elasticsearch, and Kubernetes on Linux.
Lead the design and scaling of a marketing analytics platform’s data pipeline using AWS S3, Athena, EKS, and Airflow for OLAP workloads and ETL processes.
Lead a team to architect and maintain a high-volume marketing analytics platform, designing S3-backed data lakes, ETL pipelines, and OLAP workloads using AWS tools like Athena and Airflow.
Lead a team to design and maintain scalable data pipelines and analytics architecture for a high-volume marketing analytics platform using AWS, Airflow, and OLAP systems.
Lead the design and implementation of ETL pipelines and a scalable S3-backed data lake for a marketing analytics platform using Airflow, AWS Athena, and EKS.
Lead a team to design and maintain OLAP pipelines on AWS, using Airflow for ETL orchestration and S3-backed data lakes for large-scale marketing analytics.
Lead a team to design and maintain S3-backed data pipelines and OLAP architecture for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Design and maintain a high-volume marketing analytics data lake and ETL pipelines using AWS, S3, and Airflow to process and orchestrate near-real-time data flows.
Designs and builds ETL pipelines on AWS to integrate and transform franchise advertising data, ensuring quality and real-time/batch processing for analytics.
Build and run mission-critical backend systems in Go, focusing on reliability, performance, and data integrity for high-scale platforms.
Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Owns and builds an S3-backed OLAP data lake and Airflow-driven ETL pipelines for a marketing analytics platform, choosing formats, schemas, and near-real-time processing.
Lead a team to design and maintain a high-volume marketing analytics data lake on AWS, defining ETL pipelines, Airflow orchestration, and S3 partitioning for near-real-time insights.
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