Remote Engineering Manager Jobs in London

Veeam Software★3.6 (115)· London

Leads a team of Customer Success Engineers working with Veeam Data Platform, cloud platforms, virtualization, storage, OS, and automation for disaster recovery and resilience. The team ensures customers realize value through onboarding, adoption, resilience assessments, and renewal readiness across Veeam’s data resilience and AI trust solutions.

Lead, mentor, and grow engineering teams building Runware’s scalable platform. Work hands-on with PHP, Python, Go, or Rust on distributed backend systems, CI/CD, and system design. Collaborate closely with Product, DevOps, and ML teams to ensure reliable, performant delivery.

As an Engineering Manager, you'll lead a small squad using gRPC, GraphQL, React, Kafka, Docker, Kubernetes, and Go. UW consolidates energy, broadband, mobile, and insurance into one bill. You'll guide a small team of engineers, blending hands-on involvement with leadership.

Leads a team of Customer Success Engineers managing Veeam Data Platform adoption and resilience outcomes. Works with disaster recovery, cloud platforms, virtualization, storage, operating systems, and automation. Directly leads junior managers and spans onboarding, success planning, executive reviews, and renewal risk mitigation.

Engineering manager leading and growing core engineering teams at Runware, using PHP, Python, Go, Rust, and practices including CI/CD, testing, code reviews, and monitoring. Ensures predictable delivery and technical architecture for scalable, reliable backend systems. Partners with Product, DevOps, and ML teams in a fully remote environment.

Glasswall★0.0· London

Lead a small team of DevSecOps and Software Assurance Engineers, owning product security posture, threat modelling, and security tooling (SAST, DAST, SCA). Drive DevSecOps strategy, embed security into the SDLC, and champion agentic AI adoption using tools like Claude Code or CoPilot. This is a hands-on leadership role at a file protection company, reporting to the CTO.

Lead squads building core product features for AI agent management, including LLM proxies, MCP server orchestration, and A2A protocol governance. Leverage API and event management platforms and champion AI-assisted development tools (Cursor, AI code review, automated testing). Gravitee delivers a platform for governing APIs, events, and AI agents.

You'll build the AIOS Agent SDK (extracting reusable foundations from existing agentic harnesses) and own agent architecture, model strategy, evals, and safety on top of a shared runtime. The team builds autonomous AI agents in production healthcare (autonomously generating >$100k daily revenue) and an AI clinical decision-support system; you'll lead by example as you grow the engineering team.

Lead a lean remote team of 11 engineers, shipping code on early prototypes while shaping company and product strategy. Work with VR, wearable AI, and AR glasses, integrating AI to transform product velocity. Build core platform components in a strong backend engineering environment for a company making exercise fun through movement-based technology.

Lead a core software team building AI-native cloud platforms for GPU workloads and multi-tenant systems. You will work with Kubernetes, distributed systems, and CI/CD to deliver high-performance AI infrastructure. The role focuses on growing engineers, upholding engineering excellence, and aligning execution across teams.

Lead engineering squads building core product features for AI agent management, including LLM proxies, MCP server orchestration, and A2A protocol governance. The role involves working with AI-assisted development tools (Cursor, AI code review, automated testing) to create infrastructure that secures and governs autonomous AI agents. Gravitee provides an API and event management platform trusted by global enterprises.

Leads a core software team building AI-native cloud infrastructure for GPU workloads, using Kubernetes and multi-tenant control planes. Works with distributed systems, CI/CD, and observability tools to deliver production-grade releases. Manages and scales a team while partnering with Product and Principal Engineers.

Engineering Manager at Gravitee, working with API/event management platforms, LLM proxies, MCP, A2A protocol, and AI-assisted tools like Cursor. The squad builds core product features to secure and govern AI agent ecosystems. Gravitee delivers a platform for Any API, Any Event, and Any AI Agent.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

You'll work with Secure SDLC, threat modelling, security architecture reviews, CI/CD pipelines, and AI-assisted development tooling. This role leads Product Security strategy for a PE-backed cybersecurity software company, embedding security into engineering for products protecting governments and critical infrastructure. You'll lead and mentor a small Security Engineering team.

Manage and mentor a software team working with embedded C++/CUDA, GUI, and embedded Linux at CoMind, which develops non-invasive neuromonitoring technology for clinical brain monitoring. Own the technical roadmap for the product software stack, driving development from prototype to production while ensuring compliance with IEC 62304 and other medical device standards.

Lead the Integrations team connecting Yuno’s payment platform to PSPs and gateways globally. You’ll work with Java, Golang, Kotlin, SQL, microservices, event-driven architectures, APIs, and AI-assisted coding tools like Claude Code, shaping scalable, secure payment infrastructure.

Intercom★3.5 (4)· London

You will lead product engineering teams building Fin’s Customer Agent, a single AI agent that works across support

DeepL★3.8 (4)· London

The Engineering Manager leads the Acceleration team, which builds and maintains the internal platforms and automation that power DeepL's commercial operations. You will own engineering delivery, partner with Product and commercial stakeholders on a prioritized roadmap, and develop a high-performing team.

DeepL★3.8 (4)· London

You will manage a distributed engineering team owning payment gateway integrations, fraud/bot protection systems, and the self-serve checkout and conversion pipeline. The team works with AWS, Docker, Kubernetes, gRPC, REST, and both relational and NoSQL databases to drive user activation and monetisation while preventing abuse.

Sotheby's★3.7 (84)· London

The engineering manager will work with Go, Scala, React/TypeScript, Next.js, GraphQL, gRPC, AWS, and Kubernetes. Sotheby's is an auction house for art and luxury; engineering builds systems supporting inventory, client platforms, identity, and real-time sale infrastructure. This role manages a distributed team of five or more engineers.

Spotify★4.1 (116)· London

Lead a team of six engineers on Spotify’s Data Platform, managing its event delivery system that processes trillions of events daily and its data pseudonymisation infrastructure. You will drive technical strategy for these large-scale distributed systems and invest in engineers' career growth.

Manage and lead a unified pre-sales and post-sales team of Solution Engineering and Technology Account Partner professionals for Quantexa's UK&I public sector vertical. You will drive technical engagements on data integration, platform architecture, and secure deployment models for central government, law enforcement, and regulatory bodies.

You will lead a team building and operating the foundational infrastructure that powers Fin’s AI models, working with ML and AI technologies. The team supports ML scientists and engineers to train and run Fin’s AI customer agent at scale.