Top DevOps Jobs in London

This role involves designing AI-powered retrieval systems, working directly with customers, managing production software, and balancing research with practical engineering for scalable solutions.

The role involves providing pre-sales technical consultation for ServiceNow products in the Retail sector, supporting sales efforts, conducting demos, and engaging with enterprise customers.

Lead a team of forward deployed engineers to deliver impactful GenAI solutions, manage customer engagements, and improve operational excellence.

The Strategic Account Executive will manage the full sales cycle for enterprise accounts, driving growth through land-and-expand strategies and building executive relationships within the DevOps ecosystem.

The Machine Learning Engineer will design, develop, and deploy scalable ML models for cyber threat intelligence, collaborating closely with data scientists and analysts to enhance cybersecurity measures.

The Compliance Risk Management Lead will develop technology compliance programs, assess regulatory impacts, monitor risks, and manage stakeholder expectations.

The DevOps Lead Software Engineer will streamline project delivery in low-latency setups focusing on automation, system integration, and client onboarding in equities trading.

The Technical Advisor will enhance customer satisfaction by addressing technical challenges, promoting Sonar solutions, and improving account engagement while ensuring successful product deployment and adoption.

The Lead Cloud Security Engineer ensures secure public cloud adoption, leads risk assessments, advises on cloud security, develops documentation, and mentors junior engineers.

The Cloud Security Engineer will secure public cloud adoption, conduct risk assessments, support technology teams, perform security reviews, and ensure compliance with cybersecurity controls.

Lead the Core Planning team at GitLab to enhance enterprise planning through AI integrations, improve workflow efficiency, and connect planning to business outcomes.

Lead a team of Ecosystem Sales Managers for partnership development, revenue growth, and market engagement across EMEA. Oversee strategic initiatives and foster relationships with key partners like AWS and Google.

Manage and contribute to cross-functional initiatives in the Engineering division, overseeing technical programs, stakeholder alignment, communication, and program health tracking.

The SAP Regression Test Manager will oversee regression testing activities, develop test plans, coordinate with stakeholders, and ensure compliance throughout implementation cycles.

Lead the design of secure, scalable data solutions, build data pipelines, mentor juniors, and engage with stakeholders to drive data governance compliance and innovation.

Responsible for Red Hat OpenShift software subscription sales, creating sales opportunities, engaging with customers, and guiding strategic solutions.

As a Customer Success Engineer, guide customers through onboarding, provide education on cybersecurity best practices, and ensure product adoption and renewals through collaborative efforts.

Lead delivery of projects for scalable back-end systems and payment solutions. Collaborate closely with teams to create actionable technical plans and contribute high-quality code.

As a Global D365 Solution Architect, you will design architecture policies and solutions for Dynamics 365 Finance and Operations, collaborate with stakeholders, and provide technical leadership to ensure alignment of business processes with IT solutions.

Lead and grow a high-performing engineering team, manage systems, drive quality, and collaborate to deliver innovative health tools.

The Enterprise Customer Success Manager will build relationships with customers, ensure successful CyberArk implementation, monitor support ticket SLAs, and drive product adoption while collaborating with sales.

The Principal Architect will lead architecture efforts focusing on Merchandising IT functions, modernizing applications, and fostering stakeholder collaboration across global teams.

As a Software Engineer (Infrastructure), you will develop backend systems, automate infrastructure management, and ensure the scalability and reliability of cloud-based applications.

The ML Platform Engineer will develop and manage infrastructure for deploying machine learning models, collaborate with various teams, and ensure high engineering standards.

You will build and lead projects for deploying machine learning models, ensuring high engineering standards and collaborating with diverse teams.