Top Tech Jobs & Startup Jobs in London

The Senior Software Engineer will develop low-latency, high-throughput systems for a novel search engine. Responsibilities include optimizing request flows, ensuring reliability, and collaborating with indexing and ML teams.

Serve as an embedded IT risk and controls partner to engineering and technology teams, scaling IT SOX and ITGC frameworks across cloud, platform and corporate systems. Design and implement scalable controls, lead SOX readiness and testing, drive remediation, assess application and automated controls, leverage automation and analytics to improve evidence quality, and liaise with Finance and external auditors to maintain audit readiness and control health.

Lead Nebius’s M&A and strategic investment activities: source and evaluate targets, run diligence, build financial models and business cases, drive deals to close, and support post-merger integration while managing stakeholder relationships.

The Corporate Development Associate supports capital formation, manages financial analysis, executes financing transactions, and collaborates with stakeholders on growth initiatives.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Manage IT infrastructure projects and change requests in live data centers, including GPU servers, networking, compute, and storage systems. Coordinate engineers, vendors, operations teams, and stakeholders; track risks, dependencies, issues, and documentation; lead technical meetings; resolve operational problems; and support automation, process improvements, and deployment activities. Occasional business travel is required.

Lead the Managed Kubernetes Core team while remaining hands-on with backend engineering. Responsibilities include writing and reviewing code, leading technical projects, maintaining technical vision, participating in on-call and incident response, coaching 4–8 engineers, and collaborating on product strategy. The role focuses on Kubernetes control planes, cluster autoscaling, platform integrations, add-ons, GPU infrastructure, and managed cloud services.

Build and operate stateful streaming pipelines and Go services that process usage events into accurate, near-real-time billing data. Responsibilities include ingestion, validation, enrichment, pricing, storage integration, usage APIs, billing exports, failure recovery, idempotency, exactly-once processing, reconciliation, scalability, observability, and deployment ownership.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.