Lisboa

Senior SDLC Specialist (Lisbon - Hybrid)

IT, Dados & TelecomEngenhariaITSénior

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen! Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world's most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together. If you share our vision, join us!

Right now, we are looking for a Senior SLDC Specialist to integrate our talent team.

Your responsibilities include:

  • Define and drive the AI-Driven Software Development Lifecycle (SDLC) operating model across the organization.
  • Identify opportunities where AI can transform, simplify, augment, or automate activities throughout the software development lifecycle.
  • Redesign engineering processes following a Human + AI approach, embedding AI into ways of working rather than simply adding AI to existing processes.
  • Define and establish best practices for the use of Specifications (Specs), Skills, Instructions, Custom Agents, and Agentic Workflows.
  • Develop reusable standards, frameworks, and patterns for AI-assisted software engineering.
  • Evolve engineering practices across requirements, architecture, development, code review, testing, security, release management, and continuous improvement through AI adoption.
  • Define the roles, responsibilities, and skills required within an AI-driven engineering organization.
  • Design and maintain AI-driven Golden Paths and reference workflows for different technology stacks and development teams.
  • Partner with Engineering, Architecture, Security, Testing, and Product teams to integrate AI into software delivery practices.
  • Lead pilot initiatives and transform successful outcomes into scalable enterprise-wide practices.
  • Define and track metrics related to adoption, productivity, quality, developer experience, and engineering efficiency.
  • Evaluate emerging AI coding assistants, engineering agents, and agentic technologies, assessing their applicability across the SDLC.
  • Drive change management, enablement, and adoption initiatives to accelerate AI-driven ways of working.

Workplace: Lisbon - Hybrid.

Claranet, Make modern happen!

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