Top DevOps Jobs in London

Lead enterprise-wide transformation architecture for major UK&I customers across manufacturing, pharmaceuticals, retail, travel and services. Shape strategic direction, target architectures, roadmaps, investment cases and AI-enabled workflows. Advise executives, align stakeholders, position ServiceNow within broader technology estates, lead strategic pre-sales engagements and facilitate decision-making. Guide partners and delivery teams toward implementation while mentoring architects and developing reusable approaches and thought leadership.

Leads experience research for infrastructure platform products and processes. Identifies research opportunities, plans and conducts qualitative and quantitative studies, analyzes findings, maps user journeys, and provides actionable recommendations. Partners with product managers, engineers, architects, and UX designers to improve customer experiences and research practices. Mentors junior UX practitioners, leads design-thinking exercises, communicates research value, and supports data-driven product strategy.

Lead the architecture, development, governance, and operational support of a Salesforce CRM servicing platform. Translate business needs into scalable technical solutions, oversee integrated Salesforce implementations, establish architecture standards, manage risks, and champion security, testing, CI/CD, observability, and operational resilience. Partner across engineering teams in a Kafka-based event-driven microservices environment while mentoring engineers and driving technical alignment.

Lead enterprise and solution architecture for complex financial-services transformation programs. Define technology strategies, roadmaps, governance frameworks, and scalable solutions across legacy and cloud environments. Lead architecture and engineering teams, influence senior stakeholders, support consulting business development, and promote responsible use of AI-enabled tools with human oversight. Apply distributed architecture patterns, agile and DevOps practices, and recognized architecture frameworks.

Leads complex PagerDuty implementations, automation projects, and AI-driven digital operations solutions for enterprise customers. Designs integrations, workflows, service structures, and AI-agent configurations; advises senior stakeholders on DevOps and SRE strategies; and develops reusable delivery frameworks. The consultant manages multiple engagements, mentors junior staff, presents to executives, collaborates cross-functionally, and improves professional services methodologies. The role requires strong scripting, cloud, monitoring, networking, Linux, API, CI/CD, and automation expertise, with hybrid work in the London office.

Lead pre-sales technical engagements by designing scalable MongoDB architectures, advising customers, conducting technical discovery, demos, proofs of value, presentations, sizing, and documentation. Partner with sales teams on account strategy, opportunity qualification, pipeline generation, and demand creation. Build customer relationships, communicate technical value, mentor colleagues, and stay current on MongoDB, cloud, distributed systems, AI, and modern architecture technologies.

Leads Atlassian’s Strategic EMEA Solutions Engineering team across the DACH region, managing distributed teams and shaping sales engineering strategy. Responsibilities include team development, technical sales leadership, executive customer engagement, solution design, AI-led demonstrations, strategic planning, pipeline generation, cross-functional product feedback, enablement, and industry thought leadership.

Designs and maintains secure software development lifecycle automation, CI/CD pipelines, developer tooling, and internal platform capabilities. Develops Golang utilities, configures GitHub Actions workflows, integrates vulnerability scanning and artifact validation, and supports reproducible builds and deployments. The role also promotes developer self-service through golden paths, documents solutions, trains development teams, evaluates emerging technologies, and collaborates cross-functionally on DevOps and DevSecOps improvements.

Provides senior technical presales consulting for ServiceNow solutions within Financial Services. Partners with enterprise sales teams, executives, architects, and customers to uncover business needs, demonstrate tailored solutions, articulate business value, respond to proposals, lead proof-of-concept cycles, and support account strategy. Advises on platform capabilities, regulations, resilience, security, AI, and digital transformation while helping achieve territory sales goals.

Develops ITSM and ESM partner ecosystems by providing solution architecture, technical expertise, deal-cycle support, enablement workshops, reference architectures, and thought leadership. Collaborates with channel, sales, marketing, product, and alliance teams to expand Jira Service Management adoption, improve partner practices, support customer solutions, and provide market feedback to product management.

Lead and develop a team of Principal and Senior Principal Customer Success Managers serving complex global enterprise customers. Drive customer retention, growth, health monitoring, executive relationships, success planning, escalations, and measurable business outcomes. Coordinate cross-functional teams across Sales, Product, Support, Services, and Engineering while contributing to organizational planning and talent development. The role focuses on cloud transformation, agile delivery, automation, IT services, and AI adoption.

Serve as the commercial specialist in Professional Services to drive demand, shape services engagements, lead consultative discovery, manage the services sales cycle, develop account-level strategies, collaborate cross-functionally, influence complex enterprise opportunities, and own services bookings and pipeline targets.

Lead Atlassian’s EMEA Solutions Engineering team for strategic and enterprise accounts. Responsibilities include managing and developing presales talent, defining SE strategy and performance metrics, guiding complex technical sales pursuits, shaping AI-focused demonstrations and solution designs, partnering with Sales, Product, Marketing, and Enablement, and representing Atlassian with executives, partners, analysts, and customers. The role requires at least six years managing presales teams and experience with strategic-segment customers.

Leads three to five engineering teams responsible for critical, high-throughput payment platforms. Owns technology strategy, engineering roadmaps, delivery, operational resilience, platform economics, and production outcomes. Develops engineering managers and senior technical leaders, drives cloud-native and distributed-systems practices, manages risks and dependencies, and partners with product, architecture, cybersecurity, compliance, and business stakeholders. Guides major technology and organizational change while ensuring secure, highly available, low-latency payment infrastructure.

Designs, develops, and operationalizes scalable AI and machine learning solutions for enterprise clients. Responsibilities include model selection and customization, deep learning and generative AI applications, data and MLOps/LLMOps pipeline development, production deployment, monitoring, distributed and high-performance computing, data preprocessing, and model reliability. The role also involves client engagement, research into advanced algorithms, business-value justification, and collaboration with technical and business stakeholders.

Designs, develops, deploys, and operationalizes scalable AI and machine learning solutions for enterprise clients. Responsibilities include building production ML models, data pipelines, MLOps and LLMOps systems, deep learning and generative AI applications, distributed computing solutions, and high-performance simulations. Collaborates with technical and business stakeholders to integrate reliable AI systems into production and communicate their business value.

Designs, builds, and reverse engineers data models, metadata systems, and scalable data platforms for asset management. Translates business needs into logical and physical models, supports delivery teams, and advises architects and engineers. Responsibilities include data profiling, governance, data dictionaries, information standards, architectural oversight, and semantic modeling in Snowflake for AI and Power BI. The role also requires stakeholder engagement, participation in governance forums, and support for multiple agile projects.

Own the full enterprise sales and customer success cycle for DACH accounts, including prospecting, complex deal execution, renewals, expansion, forecasting, and executive relationship management. Build strategic account plans across business units and channel ecosystems while collaborating with customer success, marketing, product, finance, leadership, and partners. Sell cybersecurity, DevOps, or DevSecOps solutions to Security and Engineering leaders at large enterprise organizations.

Build and support scalable, performant Java applications for BlackRock Global Markets. Responsibilities include gathering requirements, designing architectures, developing and testing software, conducting code reviews, improving reliability and observability, supporting production releases, and driving SDLC improvements. The role requires collaboration with business stakeholders and distributed technology teams, with emphasis on microservices, event-driven systems, cloud platforms, DevOps, and high-volume or latency-sensitive workloads.

Leads enterprise transformation consulting engagements, client relationships, cloud migrations, technology modernization, solution design, and account growth. Acts as a trusted advisor to senior stakeholders, shapes proposals and business cases, drives consultative sales, guides delivery teams, and develops transformation frameworks involving Atlassian, cloud, ITSM, PPPM, Agile, and AI capabilities. Mentors consultants and supports strategic offering development across the UKI consulting team.

Designs, develops, deploys, maintains, and scales AI-powered applications, with a focus on large language models and generative AI. Responsibilities include supporting existing applications, building new solutions, testing with end users, researching datasets, applying statistical and machine learning techniques, evaluating and fine-tuning models, and tracking AI advancements. The role requires strong Python development, front-end experience, collaboration, communication, and production-quality engineering practices.

As a Senior Data Architect, you'll design and implement data solutions on AWS, guiding startups in creating scalable architectures and leading technical engagements.

Recruit technology professionals across software development, architecture, infrastructure, DevOps, cybersecurity, and service management. Responsibilities include managing end-to-end, high-volume recruitment; building candidate pipelines and talent pools; improving sourcing strategies; supporting employer branding; advising stakeholders; meeting recruitment KPIs; and completing recruitment administration accurately and on time.

The Solutions Architect will help strategic enterprise engineering organizations adopt AI-native software development using SpaceXSI. Responsibilities include configuring environments, designing workflows, enabling developers, supporting production integrations, expanding adoption, leading architecture reviews, advising on governance and productivity, measuring customer outcomes, coordinating cross-functional teams, and feeding customer insights into product development.

Designs end-to-end data architectures and blueprints for complex client programs, covering ingestion, orchestration, governance, security, cost optimization, and observability. Leads data engineering teams, translates business needs into scalable solutions, advises clients on AI and modern cloud platforms, and oversees delivery. The role also involves strategic leadership, bid development, thought leadership, mentoring, and setting technical direction across consulting engagements.