Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with HPC, OS, and systems specialists to develop and optimize performance platforms, automate deployment, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
As a Senior Engineer II on the NG-SIEM EPICS team, you will focus on ensuring the reliability and scalability of CrowdStrike's largest SIEM platform. Your responsibilities include designing and maintaining end-to-end observability, coordinating scaling solutions, responding to incidents, and automating remediation workflows to maintain platform health and performance.
The .NET Architect will work on a social messaging platform, expanding the company's presence in the UK and European markets. Responsibilities include designing and implementing scalable solutions using .NET 10.0, C#, Azure SQL, and microservices architecture, while collaborating with a dynamic and innovative team.
This role involves developing revolutionary software solutions for a fast-growing social advertising technology platform. You will work with cutting-edge technologies like .NET 10.0, C# 14, Blazor, and Azure AI, and contribute to groundbreaking projects that enhance marketing ROI for Facebook advertisers.
This role involves designing, building, and enhancing a large-scale SaaS platform using cloud-native technologies and distributed systems. You'll work closely with cross-functional engineering teams to deliver high-availability services for global engineering clients. The role emphasizes modern software architecture, including event-driven systems, messaging, and NoSQL technologies.
This role involves developing and maintaining backend services for an AI-powered platform used in property and insurance markets. The developer will work on building, reviewing, and operating production code within a microservices architecture on Azure, with a strong focus on API design, security, and infrastructure as code. A key aspect is integrating AI components into production systems, including managing model evaluation, cost, and latency trade-offs.
This role involves leading the design, evolution, and delivery of a modern data platform on Azure within the Environmental Services sector. You will own an end-to-end data domain, working on a 2-year roadmap to modernize legacy platforms using cloud-native technologies, and collaborate with engineering teams to ensure architectural integrity.
As a Senior Solution Architect, you will assess and shape the current and future architecture of a global insurance group's technology stack, focusing on cloud migration and modernisation. You will work closely with business stakeholders, BAs, and engineering teams to turn architectural designs into actionable plans and lead the transition from legacy systems to scalable, modular solutions.
This role involves hands-on optimization of a large-scale Kubernetes infrastructure, focusing on rightsizing workloads, tuning autoscalers, and profiling Java services to balance reliability and cost efficiency. The position offers significant financial impact and engineering autonomy within a remote, flexible work environment.
This role involves architecting and implementing Databricks Lakehouse solutions, designing scalable data platforms, translating business needs into technical architectures, and leading architectural engagements. You will work directly with clients to deliver modern data platforms, advise on best practices, and optimize performance and cost efficiency.
This role involves developing production-grade, autonomous systems using Python and GenAI technologies. Responsibilities include building high-throughput microservices, complex data pipelines, RAG pipelines, and agentic frameworks, as well as deploying models into production and ensuring AI safety.
This role involves designing, building, and operating backend services in a modern cloud environment, integrating AI components into live systems. You will work with C#, .NET, Azure, and microservices, taking ownership of complex, production-grade systems and influencing the architecture as the company scales.
This role involves designing and implementing end-to-end cloud architectures, leading the development of cloud standards, and driving infrastructure modernisation. You will work closely with engineering, security, and platform teams to deliver robust and future-proof solutions, while also supporting the migration of on-premise workloads to the cloud and optimising cloud performance and cost.
This role involves building and deploying machine learning models to support customer-focused decision-making, with a focus on segmentation, lifetime value, and forecasting. The Data Scientist will collaborate with data engineers, analysts, and business teams to deliver production-ready models that drive measurable business outcomes. A key aspect is enabling targeted marketing through data-driven insights and contributing to a scalable data science platform.
