Latest cloud security engineer Jobs

Field CTO – Retail & Commerce AI

This role involves shaping the technical strategy and go-to-market approach for a cloud AI platform tailored to retail and commerce. You'll work closely with enterprise customers' CTOs, translate real-world demands into product requirements, and architect solutions for agentic commerce, recommendation systems, and supply chain optimization. The position bridges deep technical expertise with executive engagement to define a new category of AI infrastructure.

Nebius United Kingdom

Senior Applied ML Engineer (Agentic Search)

This role involves designing, training, and deploying machine learning models for retrieval, reranking, and search relevance within a large-scale, agent-native search platform. The engineer will work on embedding-based indexing, content understanding, and evaluation systems, integrating models into production services operating 24x7. The position emphasizes innovation in AI-driven search, with close collaboration between ML and engineering teams to optimize performance across latency, quality, and cost.

Nebius United Kingdom
Confluent logo

Staff Software Engineer I

Design and implement scalable storage solutions for a next-generation multi-modal storage engine, focusing on table materialization, compaction, and highly available compute infrastructure. Work on distributed systems challenges at massive scale within the Confluent Cloud platform. Collaborate across engineering and product teams to integrate streaming and table-based data consumption seamlessly.

Confluent United Kingdom
Remote Permanent
Databricks logo

Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)

This role focuses on leading enterprise data warehouse (EDW) migrations to the Databricks Lakehouse platform across EMEA. The Senior Solutions Architect will design technical go-to-market strategies, develop scalable migration frameworks, and act as a top-tier technical resource for complex customer transitions. They will also mentor regional teams, contribute to product development through customer insights, and establish thought leadership through technical content and public speaking.

Databricks London, United Kingdom
Databricks logo

Sr. Solutions Architect

Act as a trusted technical advisor to Databricks' largest and most complex customers, designing and guiding adoption of the Lakehouse platform to solve advanced data challenges. Lead technical engagements, develop customer-specific strategies, and deliver workshops while collaborating with cross-functional teams. Focus on pre-sales solution architecture, proof-of-concept execution, and competitive positioning across cloud environments.

Databricks London, United Kingdom
Snowflake logo

Solution Engineer - FS

This role involves partnering with sales teams and customers to demonstrate Snowflake's AI Data Cloud, delivering technical presentations, and supporting proof-of-concepts. The Solution Engineer bridges business and technical audiences, focusing on data platforms, generative AI, and enterprise cloud solutions. Key responsibilities include competitive positioning, hands-on technical engagement, and influencing product development through customer feedback.

Snowflake London, United Kingdom
Permanent

IT Data & Platform Engineer

Design and maintain data pipelines, lakehouses, and data warehouses within Microsoft Fabric using PySpark, Python, T-SQL, and DAX. Implement Infrastructure as Code with Azure DevOps and Git, ensuring data quality, security, and compliance. Collaborate with stakeholders to enhance data platforms and support business intelligence through scalable cloud-based solutions.

Frontpoint Partners Ltd Canary Wharf, London, E14 5AB, United Kingdom £70,000 – £80,000 pa

DevOps Engineer

This role involves maintaining and improving a modern technical environment, including time-series data platforms, infrastructure as code, edge devices, and monitoring systems. The engineer will work across cloud and on-premise environments, integrating hardware and software systems while ensuring reliability and scalability. The position offers ownership of critical systems and opportunities to influence future architecture in a collaborative, mission-driven team.

Signature Recruitment Bristol, United Kingdom £50,000 – £60,000 pa

Platform Engineer

This role involves maintaining and evolving a time-series data platform, managing infrastructure with IaC, Docker, and GitOps, and supporting edge devices and on-site systems. The engineer will ensure reliability and scalability by integrating hardware, control systems, and software platforms while building observability tooling. The position offers ownership of critical systems in a hybrid environment with a focus on continuous improvement.

Signature Recruitment Bristol, United Kingdom £50,000 – £60,000 pa

Lead Java Developer (Server-side, Microservices) Bank - London

Lead Java Developer to design and deliver event-driven, microservices-based solutions as part of a legacy modernisation initiative in a banking environment. Role involves hands-on development with Spring Boot, Kafka, and Kubernetes, alongside mentoring junior engineers and ensuring architectural consistency. Works within an Agile team to implement scalable, high-performance server-side systems on Unix/Linux platforms.

Salt London, United Kingdom £431 – £690 pd

Senior Site Reliability Engineer

This role involves ensuring the reliability, scalability, and performance of critical banking systems through hands-on SRE engineering and technical leadership. The engineer will build automated, observable infrastructure, lead incident resolution and root cause analysis, and drive SRE best practices across teams. Emphasis is placed on cloud platforms, infrastructure-as-code, and continuous optimisation within a hybrid working environment.

GCS Glasgow, City Of Glasgow, G2 1AL, United Kingdom £75,000 – £95,000 pa

Senior Software Engineer 2

This role involves developing and maintaining AI-driven insurance technology solutions using a modern stack including Python, TypeScript, React, Kubernetes, and AWS. The engineer will lead projects end-to-end, mentor peers, and contribute to engineering standards and deployment practices in a remote-first agile environment. Collaboration with ML engineers, scientists, and product managers ensures technical solutions align with business and innovation goals.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £91,332 – £109,392 pa

AI Engineer

This role involves designing and building full-stack applications using TypeScript and AWS, with a focus on rapid prototyping and integrating AI and Generative AI features into new products. The engineer will work closely with product, design, and data teams in an Agile environment, translating ideas into working software quickly using AI-assisted development techniques. End-to-end ownership of features is emphasized, from concept through to deployment and iteration.

167 Solutions Bristol, United Kingdom £40,000 – £70,000 pa
Hybrid Permanent
NVIDIA logo

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platform, focusing on Agentic AI, LLMs, and accelerated computing. The individual will design complex AI agent workflows, develop proofs of concept, and act as a technical bridge between NVIDIA, partners, and end customers. Key responsibilities include evangelizing NVIDIA's tools like Agent Toolkit, Nemotron, and NIM while collaborating across engineering and product teams to deliver full-stack AI solutions for enterprise use cases.

NVIDIA United Kingdom
NVIDIA logo

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable generative AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into full-stack AI solutions across enterprise use cases.

NVIDIA