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DevOps/Infrastructure engineer deployed at Airbus Defence and Space, managing OASIS infrastructures by administering Kubernetes clusters, writing Ansible playbooks, and deploying COTS solutions (MongoDB, Kafka, Prometheus, Grafana, etc.) in a secured environment.
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform, focusing on big time-series data. The role involves working with cloud-based data warehouses, ETL/ELT processes, and distributed systems to support advanced analytics.
A DevOps Engineer maintains and scales the company’s cross-channel marketing platform infrastructure, automating deployments, troubleshooting production systems, and collaborating with developers to ensure high availability and performance using AWS, Kubernetes, and configuration tools like Terraform/Ansible.
Core Languages: Proficiency inPython and SQL (specifically for time-series databases). Time-Series Data: Experiencewith databases suited for sensor data (e.g., InfluxDB, TimescaleDB, orIoT-specific data stores).…
Build and maintain Splunk, Grafana, and Dynatrace observability platforms to monitor and optimize Amex’s global infrastructure and applications.
Build and maintain scalable cloud systems for national security, integrating front-end apps with back-end services and Big Data pipelines using modern web and containerized tech.
Design and build a scalable data platform for IoT beverage machines, enabling analytics, AI, and self-service BI using Snowflake, dbt, Fivetran, and Looker.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Builds an automated monitoring platform for cryostat units using Python, Grafana, and InfluxDB, running on edge devices in customer environments.
Build and maintain enterprise-grade back-end services in C#/.NET, using Docker, cloud platforms, and AI tools to deliver scalable digital products for clients across Europe.
Build and maintain enterprise-grade back-end services in C#/.NET, using cloud platforms, Docker, and AI tools to deliver scalable digital products for governments, healthcare, and financial clients.
Senior Software Engineer builds distributed control systems for renewable energy assets, turning them into a Virtual Power Plant that responds to energy markets and grid conditions.
Maintain and evolve the cloud-based voice platform that powers global telephony traffic, ensuring 99.999% availability through DevOps practices, automation, and observability tooling.
DevOps IoT Engineer – M2M ¿Tiene su CV preparado? Si es así y confía en que este es el puesto ideal para usted, asegúrese de enviar su solicitud lo antes posible. Verisure, operating under two brand names (Securitas…
About Us Constellation is creating the AI-human translation layer that ensures humanity evolves alongside our technology. Our mission is to leverage AI towards addressing deep and meaningful problems at the core of the…
Student DevOps Engineer at Sun Life working on Java apps, Docker/Kubernetes deployments, and Jenkins pipelines while using AI tools like GitHub Copilot to automate and optimize CI/CD workflows.
A Staff Software Engineer at Muon Space, leading the design and development of internal platforms and tools to reduce manual tasks, responsible for end-to-end software development and architecture, working on mission-critical systems for the company's information systems team.
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
Build and maintain high-volume healthcare data systems that process millions of transactions daily, using languages like C# and Java, while integrating responsible AI tools to improve reliability and patient outcomes.
Designs and builds scalable data platforms and pipelines (GCP, AWS, Azure) using Python, Scala, Spark, and Kafka to transform complex datasets into actionable insights for clients like KLM and KNMI.
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