Senior Manager, Platform Software Engineering

Leads one or more platform teams; defines tactical and key strategic elements for middleware evolution serving multiple consumers. Accountable for performance, cost control, and reliability outcomes; escalations for distributed debugging and upgrade safety. Drives significant cross-team improvements to observability, SLOs, and resilience patterns. Engages stakeholders inside and outside the group; socializes migration plans and adoption playbooks.

We are looking for a Senior Manager of Software Development to build, lead and develop a multidisciplinary engineering team in Morocco.

Your team will work on strategic engineering capabilities spanning artificial intelligence, application infrastructure, UI frameworks and AI development tooling. Engineers will work in a matrixed model, partnering with domain leaders responsible for products and solutions including Nitro AI Development Framework, AI Fabric and AI Agent Studio.

This is a role for an engineering leader who enjoys building both high-performing teams and technology. You will combine people leadership with strong technical judgement, helping engineers turn rapidly evolving AI technologies into secure, reliable and usable platforms and services.

• Build, lead and develop a high-performing software engineering organisation in Morocco.

• Recruit and retain engineers across AI, full-stack development, application infrastructure, developer tooling and UI frameworks.

• Set clear goals and provide ongoing coaching, feedback, career development and performance management.

• Develop technical leaders and create growth opportunities for engineers at different career stages.

• Build an inclusive, collaborative and accountable engineering culture.

• Provide technical direction across AI-enabled applications, full-stack services, application infrastructure, UI frameworks and developer platforms.

• Guide teams in designing and delivering scalable, secure and reliable software and services.

• Establish strong engineering standards across architecture, APIs, testing, observability, reliability and software development.

• Help teams solve complex technical issues across distributed systems and services.

• Balance rapid experimentation with the engineering rigour required for enterprise-grade services.

• Drive improvements in platform performance, resilience, operational readiness and engineering quality.

• Lead engineers working in a matrixed model with functional and domain leaders.

• Partner with domain leaders to align assignments, priorities, deliverables, staffing needs and performance expectations.

• Build trusted relationships across engineering, industry teams and other partner organisations.

• Represent the Morocco engineering organisation in planning, architecture, delivery and operational reviews.

• Communicate technical decisions, priorities and risks clearly to engineering and business stakeholders.

• Adapt as business priorities, customer needs and AI technologies evolve.

• Strong full-stack software development expertise, including modern front-end technologies, service development, APIs, data integration and cloud-based application architectures.

• Experience hiring, developing, coaching and retaining high-performing software engineers.

• Demonstrated success managing teams in a matrixed organisation , with shared accountability across functional and delivery leaders.

• Experience delivering enterprise software, cloud services, developer platforms, frameworks or shared engineering capabilities.

• Experience establishing and improving engineering standards and practices.

• Strong written and verbal communication skills, with the ability to explain complex technical and organisational topics clearly.

• Bachelor’s degree in computer science, engineering or a related technical field, or equivalent practical experience .

Experience in one or more of the following would be valuable:

• Building AI-enabled products, agentic systems, generative AI platforms or AI-assisted developer tools.

• Large language models, agent orchestration, prompt and context management, model evaluation, AI guardrails, feedback systems or AI observability.

• Building reusable SDKs, frameworks, APIs, developer tools or internal engineering platforms.

• Managing geographically distributed or multicul