Top Engineering Manager Jobs in London

Lead and grow the engineering team building Cloudflare’s agentic commerce and machine-to-machine payment infrastructure. Own people development, execution, architecture quality, reliability, security, and operational health across payment pipelines, authentication, metering, pricing, and revenue attribution systems. Partner with Product Management and other engineering teams to shape strategy and deliver products using emerging payment protocols, web-scale infrastructure, and hybrid fiat/crypto technologies.

Leads Atlassian’s EMEA Solutions Engineering and Architecture team for DX. Responsibilities include recruiting and mentoring team members, supporting strategic pre-sales opportunities and POCs, overseeing implementations, standardizing technical processes, allocating resources, tracking KPIs, and advocating for customer needs with Product and Engineering. The role requires strong understanding of software engineering organizations, SDLC, DORA metrics, SPACE, APIs, SQL, Git, and executive stakeholder management.

Lead and coach engineers on Wise’s Send for Partners team, overseeing hiring, mentoring, performance, technical roadmaps, architecture, and system design. Partner with product, solutions engineering, implementation, and business development teams to build scalable payment systems and bank integrations. Drive engineering excellence through code reviews, best practices, continuous delivery, and hands-on technical contribution while balancing delivery priorities with long-term platform health.

Lead Cloudflare’s Edge SRE team in London, owning production reliability, scalability, observability, incident management, and platform tooling. Mentor and develop engineers, prioritize the SRE roadmap, drive cross-team reliability initiatives, and provide technical leadership for distributed infrastructure systems. The role includes design participation, root-cause analysis, production debugging, availability and performance monitoring, and collaboration with engineering, infrastructure, and product teams.

Lead and mentor engineering teams to design, build, test, and operate secure, cloud-native applications. Drive technical decisions, produce high-quality Java/React code, advocate SDLC best practices, and ensure operational resiliency and delivery.

Leads large-scale engineering programs across multiple teams, coordinating planning, delivery, risks, dependencies, governance, reporting, and operational improvements. Manages SOX and IT General Controls audit activities, remediation, testing readiness, evidence, and sustainable handoffs. Partners with engineering leaders, Risk, Compliance, and Audit while improving processes through data and automation.

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.

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.

Manages multidisciplinary engineering activities for the University of Bristol trial laboratory and Simulant Testing and Evaluation Facility. Coordinates designers, suppliers, clients, project managers, commissioning, technical specifications, design reviews, change control, documentation, compliance, cost estimates, and engineering trials within a regulated construction environment.

Lead and develop a high-performing engineering team while remaining hands-on with code and technical strategy. Own engineering delivery, architecture, hiring, team development, and collaboration with Product on roadmap priorities. The role requires scaling enterprise systems, solving distributed-systems challenges, operating in a high-growth startup, and shaping data and ML capabilities. The manager will work across the AWS, NodeJS, TypeScript, Postgres, ClickHouse, Kubernetes, and NextJS stack.

Leads and develops an EMEA pre-sales Solution Engineering team focused on observability. Partners with sales leadership on territory strategy, coaches technical demonstrations and proofs of concept, guides enterprise customers migrating logs, metrics, and traces to Snowflake, and handles complex architecture and competitive positioning. The role also channels customer feedback to Product and Engineering, represents Snowflake at industry events, and supports large-scale cloud data platform adoption.

Lead the Production Inference team of research scientists and ML engineers. Own people development, technical direction, research and development roadmaps, architecture decisions, and model-serving reliability, efficiency, latency, and cost performance. Partner with research, infrastructure, product, and commercial stakeholders; guide production deployment and lifecycle improvements; and recruit technical talent. The role emphasizes leadership and technical reviews rather than hands-on coding.

Leads engineering and technical operations for a facilities management contract, covering mechanical and electrical systems, asset management, compliance, risk, audits, building performance, and net-zero objectives. Manages engineers and subcontractors, customer relationships, KPIs, CAFM processes, training, statutory compliance, incident investigations, technical reporting, and operational resilience across Crown Estates properties.

Leads a team of data and backend engineers building scalable data products, pipelines, and services for Spotify’s subscription experiences. Partners with product, business, and engineering teams to prioritize work, guide architecture, improve reliability, manage dependencies, and support targeting, personalization, messaging, and machine learning. Coaches engineers, supports career growth, promotes inclusive collaboration, and explores AI and automation to improve workflows and data quality.

Leads people, capability, capacity, and resource planning for a robotics and autonomy engineering group. Responsibilities include line management, performance development, recruitment, retention, workload allocation, succession planning, and resolving resource constraints across projects. The manager partners with team leads and product teams to maintain delivery quality and team health while building a scalable engineering organization.

Leads and develops a group of software engineers through line management, coaching, performance management, recruitment, retention, resource planning, project allocation, and succession planning. Partners with product teams and technical leads to balance engineering capacity, address capability gaps, and maintain team health and delivery quality. Requires technical credibility in software engineering without owning architecture or product priorities.

Lead a team of four backend and ML engineers building machine-learning-driven ad delivery. Own the ML roadmap, production model-serving stack, real-time decisioning, feature pipelines, experimentation, monitoring, and backend ad services across web and mobile. Partner with product, analytics, and client engineering teams to balance revenue, retention, and inventory. Contribute hands-on to the codebase while mentoring engineers, managing performance, and guiding technical strategy.

Lead and grow a team of seven ML and data engineers delivering production machine learning, AI, recommendation, search, commerce, and agentic systems. Own hiring, performance, delivery, technical direction, architecture, MLOps, evaluation, monitoring, responsible AI, and stakeholder communication. Guide reliable data pipelines, model deployment, experimentation, LLM evaluation, and production agent systems using tools such as LangGraph and Amazon Bedrock.

Lead and grow an engineering team building reliable, scalable, secure, privacy-first AI-powered health products. Set technical direction, guide architecture, unblock delivery, champion engineering quality, and collaborate across disciplines. Hire, coach, develop, and promote engineers while delivering products to a global audience. The role requires substantial coding experience in Scala, Java, Kotlin, or Objective-C/Swift, distributed systems expertise, and several years managing engineering teams.

Lead Pricing Technology engineering strategy and delivery, partnering with Trading, Risk, Compliance, and senior technology leadership. Ensure pricing services are reliable, risk-aligned, and customer-focused while translating business strategy into products and outcomes. Build innovation and AI-first engineering practices, develop global engineering talent, and modernize mission-critical legacy systems. Oversee low-latency market data pricing and distribution platforms and shared technology platforms across functions.

Leads an engineering team responsible for the FT’s Marketing and Commercial Data capabilities. Owns delivery planning, capacity, prioritization, operational readiness, platform evolution, risk management, and stakeholder collaboration. Develops engineers, builds team capability, supports technical decisions, and guides migration from legacy marketing platforms toward Salesforce-based capabilities. Ensures systems are secure, resilient, scalable, observable, supportable, and aligned with long-term commercial technology strategy.

Leads global technology operations strategy and multiple operational capabilities across cloud, network, and on-premise platforms. Defines operating models, roadmaps, staffing, investments, and performance metrics while driving reliability, resilience, automation, AI adoption, cost optimization, and ITSM compliance. Oversees high-severity incident response, vendor relationships, operational data quality, and distributed leadership development. Partners with senior executives to shape future-state technology operations and improve organizational maturity.

Leads the architecture, delivery, and operational excellence of a high-throughput Risk API and risk assessment platform. Responsibilities include defining API contracts and data schemas, establishing immutable risk evaluation ledgers, ensuring data quality and lineage, scaling the engineering team through hiring and mentorship, aligning Product and Financial Crime stakeholders, and maintaining high availability, low latency, auditability, and regulatory reporting capabilities.

Leads the Supabase Spark engineering team by developing people, managing hiring, owning roadmap delivery, coordinating cross-team requests, maintaining service objectives, and handling incidents. The role requires technical credibility in backend and database systems, experience managing remote engineering teams, strong performance management skills, and the ability to build high-trust, asynchronous, globally distributed teams.

Lead the Enterprise Nodes & Partnerships engineering team, building secure, reliable, scalable enterprise integrations and strategic technology partnerships. Coach and develop engineers, lead hiring, guide architecture and technical decisions, align with Product and Design, and establish practices that support fast, high-quality execution. The role requires hands-on software engineering credibility, occasional coding to unblock the team, and experience scaling engineering teams in a high-growth SaaS environment.