Principal Engineer - AI, Full stack, Cloud Native Engineering, SDLC

Role

We are seeking a bold, innovative technology leader with strong engineering depth and a passion for building cloud-native, AI-driven ecosystems. You will help architect and execute technology landscapeone where:

• AI augments every team and every stage of delivery
• Automation becomes the default
• Engineering is executed with precision, quality, and modern craftsmanship
• Cloud and data capabilities fuel analytics, intelligence, and business insights

Your mission will be to:
• Champion an AI first culture, inspiring teams to think creatively about how AI accelerates development, optimizes business processes, and generates measurable value.
• Elevate engineering standards, embedding scalable architecture patterns, automated controls, and continuous delivery practices.
• Drive automation at scale, enabling intelligent tooling, self-service platforms, and reusable engineering capabilities
• Shape a modern cloud & data ecosystem, enabling seamless integration, governed data flows, and analytics capabilities that empower business decision-making.
• Simplify and modernize the landscape, driving standardization, reuse, and efficiency to enable faster, smarter delivery.

As a change agent, you will spark innovation, drive cultural evolution, and inspire teams through thought leadership and hands-on guidance. You will bring the latest industry trends and translate them into practical, scalable solutions that transform how we deliver technology and business value.

Essential Skills

Drive an AI first, cloud native engineering ecosystem with ownership across the entire SDLCfrom requirements and design through build, test, release, deployment, and operations—ensuring automation, intelligence, and scalability are embedded by design.
Proven experience in building AI solutions across the full SDLC, including solution design, development, model training, deployment, and operationalisation of enterprise grade AI platforms and models.
Establish modern engineering standards, reusable architecture patterns, frameworks, and libraries, with a strong focus on quality engineering, test automation, resilient design, and continuous improvement across delivery teams.
Lead the implementation of modern DevSecOps practices, including CI/CD pipelines, automated testing, observability, release automation, and strong code quality controls, supported by proficiency in languages such as Python, Java, or Go.
Thought leadership in engineering, cloud, and AI trends, combined with hands on experience modernising technology landscapes and building scalable platforms
Coach and grow engineering teams, foster a collaborative and high-performance culture, and lead change through hands on guidance, thought leadership, and continuous improvement.

Personal Characteristics

• Clear and influential communicator who can translate complex technical concepts into meaningful insights for both engineering teams and business stakeholders.
  • Comfortable leading in highchange, highambiguity environments, bringing structure, direction, and innovative thinking when navigating evolving business and technology needs.
  • Champion of engineering culture and operational excellence, with a strong desire to uplift teams through best practices, continuous improvement, and a mindset of disciplined innovation.
  • Adaptable and growthoriented, embracing new ideas, modern technologies, and evolving ways of working as the organization transforms.
  • Strategic and creative problem-solver, capable of thinking beyond the immediate challenge to identify scalable, long-term solutions aligned with the broader technology vision.