Top Engineering Manager Jobs in London

Leads mechanical and product design teams developing consumer products from concept through CAD, prototyping, verification, and production. Oversees design studies, CAD reviews, manufacturing optimization, cost and quality improvements, and delivery of real-world products. Develops engineering talent, collaborates with multidisciplinary and executive teams, and applies expertise in high-volume manufacturing, materials, plastic processes, and hands-on product testing.

Manage an engineering team building reusable infrastructure platforms and core distributed systems. Architect highly available services, review designs, plan roadmaps, optimize cloud costs, and enforce deployment standards across AWS and GCP. Lead planning, retrospectives, on-call practices, and reliability initiatives involving SRE, CI/CD, chaos engineering, and incident analysis. Develop engineering strategy, mentor senior engineers, and influence platform decisions across product teams.

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 develop a team of ~8-10 software engineers, owning delivery, career growth, architecture decisions, and roadmap planning with Product. Drive recruitment, performance reviews, processes for scalable, highly available features, and promote AI-augmented development workflows to improve efficiency and product outcomes.

Lead a team building backend systems for business expense management (receipts, expense reports, bookkeeping, card products). Own the technical roadmap, drive architecture and implementation, mentor engineers, collaborate with product and cross-functional squads, and apply LLM technologies to automate document scanning, categorization, and reconciliation.

Leads the Egress engineering team responsible for Cloudflare’s network connectivity infrastructure. Responsibilities include hiring and mentoring distributed software engineers, shaping technical vision and roadmaps, evaluating distributed network infrastructure tradeoffs, overseeing production services and incident response, managing on-call rotations, resolving customer escalations, and driving reliability and automation improvements.

Lead a software engineering team building and maintaining automation tools for CrowdStrike’s private cloud-native infrastructure. Own team workload, hiring, mentoring, architecture, engineering quality, and production support. Guide development of scalable distributed systems, deployment tooling, CI/CD pipelines, automated testing, and containerized environments. Collaborate across engineering, product, project management, and executive teams while improving operational efficiency through AI technologies.

Lead end-to-end delivery of complex, cross-functional engineering and business initiatives. Develop project plans, milestones, dependencies, roadmaps, and execution strategies; manage risks and blockers; align Engineering, Product, Business, Operations, and senior stakeholders; provide progress and outcome visibility; and improve delivery processes. Requires financial-services domain knowledge, including front-, middle-, and back-office and post-trade workflows.

Lead and grow a team building and operating the Workers runtime at the edge. Own reliability, release safety, architectural evolution, and performance/security improvements for a high-throughput multi-tenant runtime implemented in C++/Rust and WebAssembly. Partner with adjacent teams, hire and mentor engineers, and balance customer-facing features with foundational investments.

Leads knowledge engineering and AI initiatives focused on building scalable Knowledge Graph, semantic, and graph-based machine learning solutions. Directs ontology and schema design, data architecture, AI data pipelines, and implementation across client programs. Manages teams, establishes technical standards, drives innovation, supports sales and presales, develops client relationships, and provides thought leadership on emerging AI and knowledge engineering technologies.

Engineering Manager responsible for co-leading an autonomous engineering squad with a Product Manager. Owns technical decisions, prioritization, delivery planning, operational excellence, security and SLOs, team staffing, coaching, performance development, stakeholder communication, and budget alignment. The role requires familiarity with UW’s technology stack, strong technical design leadership, experience managing engineers, and expertise navigating complex domains with intricate logical edge cases.

Leads a small engineering squad by owning technical decisions, delivery, operational excellence, planning, and team development. Partners with Product Managers to set OKRs, prioritize work, manage risks, and improve engineering practices. Coaches and develops engineers, supports hiring and performance reviews, promotes healthy team culture, monitors security and service-level objectives, and communicates progress and strategy across the organization.

The Engineering Manager will lead a Data Replay & Recovery Team to build a data replay application, improve service efficiency, and design a data platform for processing large datasets.

Lead a global engineering team developing and scaling the Affinidi Elements platform. Responsibilities include technical architecture, hands-on coding, complex problem solving, roadmap and delivery ownership, quality and security improvements, performance optimization, and development of cloud-native systems. The manager will mentor engineers, establish engineering standards, collaborate with product and design stakeholders, and foster a diverse, high-performing team culture.

Lead and grow a London-based presales Solutions Engineering team of 5–10 people. Hire, coach, and develop engineers while supporting strategic deals through discovery, demonstrations, workshops, proofs of concept, technical evaluations, and executive readouts. Own presales forecasting, pipeline hygiene, performance reporting, deal risk, and resourcing. Partner with Sales, Product, Customer Success, Enablement, and Product Marketing to improve methodologies, toolkits, win rates, and market execution.

Lead GitLab’s Build team and roadmap, overseeing systems that convert source code into secure, verified, distributable artifacts. Own build platforms, dependency management, CI templates, supply-chain security, build consistency, observability, and self-service onboarding across delivery targets including Omnibus and CNG. Partner across teams to improve reliability, reduce coordination overhead, and support four-nines service objectives. Manage a distributed, high-performing engineering team and guide architecture, technical strategy, operational excellence, and complex project delivery.

Own the enterprise endpoint-management platform, roadmap, engineering backlog, security posture, and service standards across a multi-site retail estate. Lead endpoint platform design, provisioning, policy, application deployment, patching, compliance, and lifecycle management. Manage and develop engineers, vendors, and managed-service partners while driving transformation toward unified endpoint management. Improve device reliability, security, user experience, operational health, and cost efficiency across stores, distribution centers, and offices.

Own the enterprise endpoint-management platform and roadmap across a large, multi-site retail estate. Lead platform engineering, security, compliance, provisioning, application deployment, patching, lifecycle management, service health, and continuous improvement. Manage engineers, vendors, and partners while standardizing endpoint operations across stores, distribution centers, offices, kiosks, tablets, mobile devices, and shared devices. Drive transformation toward unified endpoint management, secure device experiences, and scalable operating practices.

The Engineering Manager will lead a team to deliver high-quality software, balancing delivery and operational excellence while fostering team growth and adopting AI-native workflows.

Lead and grow a team of Specialist Sales Engineers across EMEA to support enterprise sales — recruiting, enabling, and providing technical leadership. Partner with sales, product, and customers to design and present cloud data management, backup, and cyber recovery solutions. Act as trusted technical advisor, drive technical programs, and help win large, complex opportunities.

Leads front-end software engineering while managing up to six engineers for up to 50% of their time. Responsibilities include designing scalable, responsive interfaces, optimizing performance, solving real-time collaborative editing challenges, translating requirements into quality code, coaching reports, providing feedback, supporting career development, and participating in performance and compensation decisions.

Lead and grow a small product engineering pod while spending ~70% hands-on building scalable Python backend systems. Set technical direction, mentor engineers, drive delivery from design to deployment and monitoring, act as L2 escalation for production issues, and collaborate with Product, Infrastructure, and Support.

Lead a hands-on engineering team building scalable Vogue products and brand-agnostic platforms. Set technical direction, contribute to production code, oversee architecture and code reviews, and manage delivery from ideation through maintenance. Line-manage, mentor, hire, and develop engineers while partnering with product and design. Establish effective AI-assisted development practices and address performance, usability, security, technical debt, and long-term platform maintainability.

Lead and develop approximately 12 engineers across DevOps and AI Platform functions. Set strategy for release safety, developer experience, observability, infrastructure cost, scalability, shared AI-agent frameworks, MCP management, evaluations, and AI-enabled software delivery. Partner with technical leaders, champion SRE practices, support compliance certifications, and build hiring and operating models while guiding platform reliability and responsible AI adoption.

Lead and develop a product engineering squad, balancing people leadership, delivery accountability, and technical guidance. Responsibilities include recruiting, coaching, planning, delivery health, production readiness, system reliability, security, scalability, and maintainability. Partner with product managers and engineering leaders to align priorities, guide technical decisions, improve delivery predictability, and support responsible use of AI-assisted engineering tools.