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Lead Data Engineer designing and orchestrating enterprise-scale cloud analytical platforms, focusing on data flows, governance, and observability using Databricks and AWS.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
DevOps Engineer owning cloud infrastructure, automation, deployment, monitoring, and production reliability across AWS, Terraform, Docker, and Python; building CI/CD pipelines with GitHub Actions, improving observability with Datadog, and supporting data services like Aurora PostgreSQL and Redis. Strong Linux and networking fundamentals required.
DevOps Engineer designing and maintaining Azure cloud infrastructure using Terraform, Helm, and Datadog monitoring for a worldwide engineering team.
The Senior DevOps Platform Engineer will design and operate large-scale Kubernetes platforms on Azure and GCP, focusing on automation, security, and developer enablement. This role involves driving infrastructure as code practices and collaborating with international teams to build scalable, cloud-native foundations.
This 1-year contract role involves managing end-to-end CI/CD pipelines, containerized workloads, and cloud infrastructure. The engineer will automate deployment processes, implement DevSecOps controls, and maintain platform observability using tools like Kubernetes, Terraform, and various cloud platforms.
The Data Engineering Lead will oversee the migration of legacy Oracle/Informatica reporting systems to a cloud-native Snowflake platform. This role involves leading a team to build scalable, governed data solutions for financial clearing services while ensuring high availability and regulatory compliance.
Responsibilities The Reporting & Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates Given the scale, criticality and…
DevOps Engineer at a London-based psychological science startup, owning cloud infrastructure, CI/CD pipelines, and observability while supporting AI/ML workloads on AWS.
Cloud Engineer at a Series A AI startup building and maintaining highly scalable real-time messaging infrastructure on AWS, using Terraform, Docker, ECS, and CI/CD pipelines.
DevOps/Platform Engineer building and owning a healthtech scale-up's entire infrastructure, security, and observability foundation from scratch — multi-cloud IaC, CI/CD pipelines, automated access provisioning, and agent-first tooling using Terraform, Docker, Kubernetes, and AI coding tools.
The AI DevOps Engineer will design and maintain infrastructure, CI/CD pipelines, and MLOps environments to support the deployment of AI solutions. The role requires leveraging generative AI tools for automation and scripting while collaborating with data scientists and developers to ensure scalable, secure production operations.
Senior Data & AI DevSecOps Engineer designing, implementing, and maintaining secure, scalable data and AI platforms on AWS using Terraform, Ansible, and CI/CD pipelines. Responsibilities include deploying Databricks workloads, managing Kubernetes/EKS/AKS, and building observability with Datadog and CloudWatch.
The Data/AI DevSecOps Engineer will design and maintain secure, scalable data and AI platforms on AWS, focusing on CI/CD automation, infrastructure as code, and cloud security. The role involves managing containerized applications and collaborating with engineering teams to integrate AI workflows into production.
DevOps Engineer at an online motor insurance company in Madrid, focused on building and operating reliable, scalable systems using AWS, Kubernetes, Python, and Infrastructure as Code (Pulumi).
About the Project We’re building an AI-powered video platform that aggregates and processes content from multiple social media sources. Users interact with video data through contextual search, LLM-powered features,…
Backend engineer developing and maintaining critical REST APIs and services using Node.js, TypeScript, AWS serverless (Lambda), PostgreSQL, and MongoDB in a remote, agile team.
eXalt is seeking an experienced DevOps/SRE to design, deploy, and maintain cloud platforms for clients in Lyon while fostering a DevOps culture. The role involves industrializing infrastructure using IaC, CI/CD, and Kubernetes, while focusing on system reliability and observability.
This role involves developing and industrializing a generative AI platform using Python, RAG architectures, and LLMs. The developer will build scalable APIs and data pipelines while working in an Agile environment for a consulting firm.
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