Atos
Atos
Atos provides digital transformation services and technology solutions for organizations across consulting, healthcare, logistics, and other industries. Its work spans cloud and infrastructure, digital business platforms, technology consulting, cybersecurity, user experience, and enterprise digital transformation. The company also supports major international events as an official IT partner, including UEFA and the Olympic Games, while advancing innovation and sustainability across its technology services.

Lead Full Stack Engineer, UK Remote

Lead the delivery of secure, production-ready software and agentic AI systems for Atos’s government and enterprise clients. Work across full-stack engineering, cloud platforms, and AI-enabled digital services.

Description

  • Own the design and delivery of secure, resilient, production-ready applications
  • Stay hands-on across frontend and backend development, APIs, data, integration, cloud, and deployment
  • Develop AI-enabled applications and agentic workflows that connect models, tools, data, and enterprise systems
  • Design agent orchestration, retrieval, context, state, memory, permissions, and human oversight mechanisms
  • Define effective practices for AI evaluation, security, reliability, observability, and cost management
  • Address complex challenges involving architecture, performance, scalability, and live operations
  • Make evidence-based technical decisions and communicate the associated trade-offs
  • Guide teams through uncertainty and complex delivery environments
  • Improve engineering standards through leadership, mentoring, and constructive challenge
  • Collaborate with clients, architects, product teams, and delivery leaders
  • Help shape programmes from initial discovery through production launch
  • Influence engineering standards, reusable patterns, and technical strategy
  • Serve as a trusted technical adviser to senior client stakeholders

Requirements

  • Extensive, recent experience building software hands-on
  • A track record of personally delivering complex, production-ready systems
  • Strong understanding of modern systems across the full delivery lifecycle
  • Advanced system design and architecture skills, with the ability to implement and validate decisions
  • Broad experience with frontend and backend systems, APIs, databases, automated testing, CI/CD, containers, and cloud platforms
  • Ability to diagnose problems across application, infrastructure, and runtime boundaries
  • Capacity to learn unfamiliar tools and platforms quickly
  • Sound judgement across security, performance, reliability, maintainability, observability, and cost
  • Experience leading and mentoring engineers while maintaining strong technical credibility
  • Excellent communication and client-facing capability
  • Experience in government, regulated, or complex enterprise environments
  • Eligibility and willingness to obtain SC clearance
  • Practical experience developing applications with large language models or other modern AI models
  • Experience designing agentic workflows with tool use, structured outputs, and external system integrations
  • 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 measuring quality, reliability, safety, and tangible business outcomes
  • Knowledge of AI security practices including prompt-injection defense, data protection, access control, and auditability
  • Experience with hosted, private, open-weight, sovereign, or disconnected deployment models
  • Experience using AI-assisted software engineering with rigorous validation of generated code and designs
  • Experience with technologies including Go, Java, C#, Python, JavaScript, TypeScript, React, AWS, Azure, Kubernetes, relational databases, event-driven systems, open-weight models, vector search, or agent orchestration frameworks

Benefits

  • Commitment to diversity, equity, and inclusion
  • Reasonable adjustments throughout the application and assessment process
  • Additional application support for care leavers
  • Work on technically ambitious government and enterprise programmes
  • Work across modern software engineering, cloud, AI, and agentic AI
  • Opportunities to evaluate new technologies and engineering approaches
  • Influence over engineering standards, reusable patterns, and technical strategy
  • Direct collaboration with senior client stakeholders
  • Opportunities for mentoring and team building
  • Meaningful impact on major government and enterprise services

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