This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
This role involves joining Nebius's talent pool for future AI and infrastructure engineering opportunities. You will work on complex challenges in AI research, machine learning, cloud infrastructure, and high-performance computing, contributing to the development of next-generation AI applications.
This role involves designing, automating, and operating scalable cloud-native platforms on Google Cloud Platform (GCP). You will manage GKE/Kubernetes clusters, build and maintain Infrastructure as Code, and develop CI/CD pipelines using tools like Jenkins, Terraform, and Ansible. The position also includes troubleshooting and supporting monitoring and observability integrations.
This role involves designing, building, and operating the core platform services that power portfolio analytics, risk calculations, and analytical workloads. You will work closely with Quantitative Developers, Data Engineers, and Technology leaders to develop cloud-native platforms and ensure complex calculations are executed securely and at scale.
The AI Forward Deployed Engineer role involves developing and deploying cutting-edge GenAI solutions for customers, collaborating with product and engineering teams, and presenting at industry conferences. The role requires expertise in GenAI, machine learning, and cloud platforms, with a focus on hands-on experience and technical communication.
This role involves designing and building data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines, and working with tools like Azure Data Factory, Databricks, and Power BI. The focus is on large-scale data projects and ensuring strong data quality and governance.
This role involves working on a greenfield security platform or API builds/upgrades, using Python, Pandas, FastAPI, SQL, and GCP/Terraform. You'll collaborate with the Data or Engineering team, with opportunities for contract extension and hybrid work in Central London.
This role involves leading the adoption and continuous improvement of DevSecOps practices, designing secure CI/CD pipelines, embedding security into workflows, and driving observability and compliance. You'll work on high-impact transformation programmes and partner with developers to enhance engineering quality and security.
This role involves building and delivering software solutions for risk management and trading desks in a tech-driven systematic investment firm. You will work closely with business stakeholders to develop large-scale applications using Python and modern cloud platforms, with a focus on high-quality, testable code.
This role involves providing Level-1 support and advanced DevOps engineering tasks, ensuring robust operational efficiency and technical excellence. Responsibilities include diagnosing and resolving production issues, developing monitoring dashboards, and maintaining reconciliation applications for a global prime brokerage and financing platform.
As a Software Engineering Intern, you will work with a team to build features for the Databricks platform, manage projects from design to feedback, and learn about building scalable, secure, and high-quality systems. You will have a dedicated mentor and connect with engineers and leaders across the company.
This role involves designing and developing automated test frameworks using Playwright and TypeScript, automating UI, API, and integration testing, and integrating testing into CI/CD pipelines. You'll work closely with developers and DevOps engineers to improve software quality and delivery confidence in a cloud-native and microservices environment.
This role involves designing and delivering services for a cloud-based data analysis platform, supporting front-end development with React, and automating system deployment to the cloud. The team uses state-of-the-art tools and AI to enhance productivity and speed up the development lifecycle.
This role involves designing, building, and maintaining high-performance, fault-tolerant network infrastructure at scale across hybrid and multi-cloud environments. The engineer will work on IP and optical technologies connecting data centers, lead capacity planning and reliability improvements, and contribute to automation through infrastructure-as-code and CI/CD pipelines. The position requires deep expertise in large-scale networking protocols and cloud platforms, with an emphasis on innovation, operational excellence, and 24x7 on-call support.
This role involves designing, implementing, and operating large-scale, multi-vendor, multi-cloud network infrastructure for CrowdStrike’s global data centers and cloud environments. The engineer will use infrastructure-as-code (Terraform, Ansible) and automation (Python, Go) to deploy and manage networks at scale, with a focus on performance, resilience, and compliance. Key responsibilities include troubleshooting complex issues, supporting AI-driven workflows, and ensuring adherence to security standards like ISO 27001, GDPR, and PCI-DSS.
This role involves designing, building, and optimizing AWS cloud platforms using modern automation and infrastructure tools. You will collaborate with a DevOps team to drive automation, maintain CI/CD pipelines, and ensure platform scalability, security, and reliability.
