Senior Sldc Specialist

Claranet Limited; Lisboa; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Claranet Limited seeks a Senior SLDC Specialist to lead the AI‑driven SDLC transformation across our software delivery organization. You will redefine processes, establish best practices, and drive adoption of AI techniques to improve productivity, quality, and security.

You will partner with Engineering, Architecture, Security, Testing, and Product teams to embed AI into workflows, measure adoption, and deliver scalable enterprise‑wide improvements.

Competenze

• 5+ years of experience in Software Engineering or SDLC transformation initiatives.
• Strong background in Software Engineering and modern software delivery practices.
• Solid understanding of DevSecOps, CI/CD, Quality Engineering, Testing, and Secure Software Development practices.
• Hands-on experience with AI‑assisted software development tools and workflows.
• Experience designing, implementing, or evaluating AI agents, custom agents, agentic workflows, or AI‑driven engineering solutions.
• Experience defining engineering operating models, development processes, governance frameworks, and organizational change initiatives.
• Strong understanding of the end‑to‑end SDLC, including requirements, architecture, development, testing, security, release, and continuous improvement.
• Experience creating engineering standards, reusable frameworks, templates, or best practices.
• Strong stakeholder management skills, with the ability to influence Engineering, Architecture, Security, Testing, and Product organizations.
• Excellent communication, facilitation, and leadership skills.
• Strong analytical and problem‑solving capabilities with a continuous improvement mindset.

Mansioni

• Define and drive the AI‑Driven SDLC operating model across the organization.
• Identify opportunities where AI can transform, simplify, augment, or automate activities throughout the SDLC.
• Redesign engineering processes following a Human + AI approach, embedding AI into ways of working.
• Define and establish best practices for 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 roles, responsibilities, and skills required within an AI‑driven engineering organization.
• Design and maintain AI‑driven Golden Paths and reference workflows for different stacks.
• Partner with Engineering, Architecture, Security, Testing, and Product teams to integrate AI into delivery practices.
• Lead pilot initiatives and transform outcomes into scalable practices.
• Define and track metrics related to adoption, productivity, quality, and developer experience.

Conoscenze

AI‑driven SDLC

Software Engineering

DevSecOps

CI/CD

Leadership

Communication

Strumenti

AI coding assistants

Engineering agents

Agentic workflows

Descrizione del lavoro

We're fastlearners, hard workers, natural collaborators... and weMake Modern Happen ! Ourambition is to unlock the potential of our digital world so that organisationseverywhere can innovate and thrive securely. We aim to achieve this goal bybringing together the world's most talented people and the most powerfultechnologies, combining them to address our customers' challenges and to buildsomething stronger together. Right now,we are looking for a Senior SLDC Specialist to integrate our talentteam.

Your responsibilities include: Define and drive the AI-Driven Software Development Lifecycle (SDLC) operating model across theorganization. Identify opportunities where AIcan transform, simplify, augment, or automate activities throughout thesoftware development lifecycle. Redesign engineering processesfollowing a Human + AI approach, embedding AI into ways of working ratherthan simply adding AI to existing processes.

Define and establish bestpractices 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 practicesacross requirements, architecture, development, code review, testing,security, release management, and continuous improvement through AIadoption. Define the roles,responsibilities, and skills required within an AI-driven engineeringorganization.

Design and maintain AI-driven Golden Paths and reference workflows for different technology stacks anddevelopment teams. Partner with Engineering, Architecture, Security, Testing, and Product teams to integrate AI intosoftware delivery practices. Lead pilot initiatives andtransform successful outcomes into scalable enterprise-wide practices. Define and track metricsrelated to adoption, productivity, quality, developer experience, andengineering efficiency.

Evaluate emerging AI codingassistants, engineering agents, and agentic technologies, assessing theirapplicability across the SDLC. Drive change management,enablement, and adoption initiatives to accelerate AI-driven ways ofworking. You must have: 5+ years of experience in Software Engineering or SDLC transformation initiatives. Strong background in Software Engineering and modern software delivery practices. Solid understanding of Dev Sec Ops, CI/CD, Quality Engineering, Testing, and Secure Software Development practices.

Hands-on experience with AI-assisted software development tools and workflows. Practical experience designing,implementing, or evaluating AI agents, custom agents, agentic workflows,or AI-driven engineering solutions. Experience defining engineeringoperating models, development processes, governance frameworks, andorganizational change initiatives. Strong understanding of theend-to-end SDLC, including requirements, architecture, development,testing, security, release, and continuous improvement.

Experience creating engineeringstandards, reusable frameworks, templates, or best practices. Ability to define and measureadoption, productivity, quality, and developer experience KPIs. Strong stakeholder managementskills, with the ability to influence Engineering, Architecture, Security, Testing, and Product organizations. Excellent communication,facilitation, and leadership skills. Strong analytical andproblem-solving capabilities with a continuous improvement mindset.