Lead Full Stack Engineer

🕒 il y a 1 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Atos

Site WebLinkedInTous les Emplois

10 000+ employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Atos est un leader mondial de la transformation digitale, offrant une gamme de services et de solutions dans le cloud et l'infrastructure, les espaces de travail numériques et les services technologiques. L'entreprise se concentre sur l'aide au développement des capacités numériques de ses clients grâce à des technologies innovantes et des services de conseil, tout en mettant l'accent sur la durabilité et la responsabilité sociale. Atos est également reconnu pour son rôle dans des événements majeurs, fournissant un support informatique et améliorant les expériences pour des millions d'utilisateurs dans le monde entier, y compris des partenariats avec des organisations comme l'UEFA et des services adaptés pour le secteur de la santé.

Description

• Lead the design and delivery of secure, resilient and production-grade applications • Remain hands-on across frontend, backend, APIs, data, integration, cloud and deployment • Build AI-enabled applications and agentic workflows connecting models, tools, data and enterprise systems • Design agent orchestration, retrieval, context, state, memory, permissions and human oversight • Establish robust approaches to AI evaluation, security, reliability, observability and cost • Solve complex problems across architecture, performance, scalability and production operations • Make pragmatic technical decisions based on evidence and explain trade-offs • Lead teams through ambiguity and complex delivery • Raise engineering standards through leadership, mentoring and constructive challenge • Work closely with clients, architects, product teams and delivery leaders • Shape programmes from discovery through production • Influence engineering standards, reusable patterns and technical strategy • Act as a trusted technical adviser to senior client stakeholders

🎯 Exigences

• Exceptional and recent hands-on software engineering experience • Record of personally delivering complex, production-grade systems • Deep understanding of modern systems operating end to end • Strong system-design and architecture capability with ability to implement and validate decisions • Broad experience across frontend, backend, APIs, databases, automated testing, CI/CD, containers and cloud platforms • Experience diagnosing issues across application, infrastructure and runtime boundaries • Ability to master unfamiliar tools and platforms quickly • Strong judgement across security, performance, reliability, maintainability, observability and cost • Experience leading and mentoring engineers while remaining technically credible • Excellent communication and client-facing skills • Experience working in government, regulated or complex enterprise environments • Eligibility and willingness to obtain SC clearance • Practical experience building applications using large language models or other modern AI models • Experience designing agentic workflows involving tool use, structured outputs and external system integration • Experience with retrieval-augmented generation, embeddings, grounding and context management • Experience with agent orchestration, state, memory, permissions, error recovery and human-in-the-loop controls • Experience evaluating quality, reliability, safety and measurable business outcomes • Experience with AI security, including prompt injection, data protection, access control and auditability • Experience with hosted, private, open-weight, sovereign or disconnected deployment patterns • Experience with AI-assisted software engineering and rigorous validation of generated code and designs • Experience with technologies such as Go, Java, C#, Python, JavaScript, TypeScript, React, AWS, Azure, Kubernetes, relational databases, event-driven systems, open-weight models, vector search or agent orchestration frameworks

🏖️ Avantages

• Diversity, Equity & Inclusion commitment • Reasonable adjustments to the application and assessment process • Additional application support for care leavers • Opportunity to work on technically ambitious government and enterprise programmes • Opportunity to work across modern software engineering, cloud, AI and agentic AI • Opportunity to test new technologies and approaches • Influence over engineering standards, reusable patterns and technical strategy • Direct work with senior client stakeholders • Mentoring and team-building opportunities • Meaningful impact across major government and enterprise services

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