Future Tech Jobs
Future Tech Jobs
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.
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 researchers, developers, and customers to optimize system performance and develop new solutions.
As a Data Centre Technician, you will be the primary resolver for your support team, troubleshooting and solving infrastructure issues across various systems, including Linux servers and XEN virtualization. You will create and maintain documentation, act as an escalation point for junior technicians, and contribute to improving operational efficiency and customer uptime.
The role involves managing compliance, reporting, and financial aspects of AWS's global subsea network. You will work with internal and external stakeholders to ensure high standards and continuous improvement in the deployment and operation of submarine cables.
This role involves designing secure, scalable AI-enabled systems within a government setting, translating emerging AI capabilities into production-ready services. The architect will lead technical design, collaborate with multidisciplinary teams, and ensure solutions meet security, governance, and user needs. It emphasizes innovation within a regulated environment, including work with LLMs and AI platforms.
This role involves leading the design of secure, scalable AI-enabled solutions within a government department, translating emerging AI capabilities into production-ready services. The architect will work across multidisciplinary teams to validate concepts, ensure technical governance, and guide systems from prototyping to deployment. Emphasis is placed on innovation balanced with security, data protection, and alignment with public sector standards.
As a Lead Solutions Architect, you will collaborate with Databricks' most significant enterprise customers to drive organisational transformation through data and AI. You will advise on strategic initiatives, mentor technical teams, and integrate Databricks solutions with the broader cloud ecosystem, including AWS, Azure, and GCP.
RDQ127R176At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
As a Senior Backend Engineer on the Managed Services team, you will develop and enhance systems that detect, analyze, and remediate threats at scale. You will work closely with security analysts to build AI-integrated automation solutions, improve service monitoring, and ensure high-quality operations 24/7.
This role involves designing and building high-scale, Go-based microservices for CrowdStrike’s AI-native Falcon SIEM platform, focusing on case management and intelligent workflows that empower security analysts to respond to threats faster. The engineer will lead system architecture, integrate AI/ML and LLM-driven capabilities, and work across the full development lifecycle to deliver resilient, petabyte-scale incident response solutions. Collaboration with product, design, and engineering teams is central, along with mentoring and improving system reliability.
This role involves building and maintaining scalable data pipelines in Databricks, with a focus on platform setup, data governance, and integration of data from legacy systems and M&A activity. The engineer will establish best practices, support data quality and testing standards, and enable downstream analytics in Tableau and AI-driven platforms. It's a hands-on opportunity to shape a new centralised data platform from the ground up within an Agile environment.
This role involves developing and maintaining the core backend services of Grafana, supporting both on-premises and cloud customers. The engineer will work across the full lifecycle of feature development—from design to deployment—with a focus on scalability, reliability, and developer experience. Collaboration with cross-functional teams and active participation in an open-source culture are key aspects of the role.
As a Principal DevOps Engineer for Mastercard’s Decision Management Platform, you will design and manage cloud infrastructure, build CI/CD pipelines, and drive DevOps initiatives to support a high-volume, low-latency financial system. You will collaborate with global teams to ensure system reliability, scalability, and security, while fostering innovation and continuous improvement.
Design and manage cloud infrastructure for a high-volume, low-latency decisioning platform used in fraud prevention and identity verification. Build scalable CI/CD pipelines and lead DevOps initiatives across global data centers using containerized systems and real-time processing technologies. Promote Infrastructure as Code, observability, and cost-efficient cloud practices in a mission-critical environment.
The Senior Systems Engineer will support the development, security, and modernisation of a complex IT environment, including cloud adoption, infrastructure improvements, and cybersecurity enhancements. The role involves hands-on technical delivery, strategic input, and leading key initiatives such as migrating legacy systems to Microsoft 365 and enhancing enterprise infrastructure.
