Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. You'll collaborate with cross-functional teams to enhance NVIDIA's AI capabilities and contribute to industry benchmarks.
This role involves owning and developing the data and integration infrastructure for AI deployments, designing robust integrations between AI solutions and core business systems, and ensuring reliable operation of AI systems. The position offers the opportunity to work on complex, production-grade AI systems in a forward-thinking team.
This role involves leading the design, implementation, and optimisation of Finance platforms during a major migration from Oracle E-Business Suite to Oracle Fusion ERP. The engineer will develop integrations using REST/SOAP APIs, automate workflows via CI/CD pipelines, and enable functionality using Oracle Visual Builder and Oracle Apex. The position requires strong technical leadership and collaboration across complex financial systems in a transformation environment.
This role involves leading the design and implementation of AI capabilities within the Spring Portfolio, engaging with the open-source community, and mentoring engineering teams. The engineer will collaborate with various stakeholders to define requirements and deliver innovative solutions, while also driving improvements in engineering practices and tools.
This role involves maintaining and optimizing enterprise security platforms such as Microsoft Sentinel, Defender, DLP, and cloud security tools within a managed services environment. The engineer will tune detection rules, support incident response, enable automation through SOAR and LogicApps, and ensure platform resilience across complex client environments. Collaboration with SOC teams and adherence to compliance and change control processes are key aspects of the position.
Lead the technical direction of software projects in a multidisciplinary team, shaping end-to-end delivery across diverse tech stacks and client sectors. Drive engineering excellence through scalable architecture, CI/CD, and modern practices like TDD and event-driven design. Collaborate with product, design, and clients to deliver innovative solutions using cloud platforms, infrastructure-as-code, and AI-augmented development workflows.
Design and develop enterprise-grade full stack applications using .NET Core, .NET, and Python within the insurance analytics and AI domain. Build scalable data platforms across relational and NoSQL databases, data lakes, and streaming architectures while working across cloud (Azure) and on-premises environments. Collaborate with architects and stakeholders to deliver secure, high-performance solutions using modern DevOps and agile practices.
This role involves owning the data infrastructure and system integrations for AI deployments, ensuring reliable and scalable solutions. Responsibilities include building and maintaining data pipelines, APIs, and middleware, and troubleshooting integration issues.
As a Senior Data Engineer, you will develop and implement a Fabric Data Lakehouse for the Investment Management business, ensuring scalable and secure data processing. You will collaborate with architects, business stakeholders, and data teams to translate business needs into technical solutions, while fostering best practices and ensuring data security.
This role involves managing and improving cloud and on-premises infrastructure, handling systems and networking tasks, and implementing security measures. You will work with AWS, Azure, Windows, Linux, VMware, and various security tools, while also contributing to technical documentation and supporting Microsoft 365.
This role involves designing and operating hybrid on-prem and cloud infrastructure, supporting internal colleagues and remote offices. Responsibilities include Linux and Windows server administration, Proxmox virtualization, cloud environments, Microsoft 365, storage management, networking, Kubernetes, and cybersecurity.
The Lead Infrastructure Engineer will maintain and enhance critical cloud, network, and communication systems, lead complex troubleshooting activities, and support the evolution of technical operations. Key responsibilities include managing SIP-based communications, optimizing AWS infrastructure, and mentoring support teams.
This role involves working as an IBM iSeries specialist in a small team, providing remote customer support and data center maintenance. Responsibilities include designing, configuring, and monitoring infrastructure, implementing disaster recovery and backup systems, and performing scheduled upgrades and tests. The position offers hybrid working and the opportunity to work with enterprise clients using the latest technologies.
This role involves designing and implementing network automation solutions, developing and maintaining automation tools, and supporting network transformation and infrastructure modernisation. You will work with Python, Ansible, and Terraform, collaborate with architects, and enhance network security and performance in a complex, global environment.
