Principal Engineer

Principal Engineer – Cloud Native Architecture Wood Mackenzie is seeking an experienced Principal Engineer to lead the architecture, design, and development of scalable, cloud-native enterprise applications and platforms. This role requires deep technical expertise, strong architectural leadership, and hands‑on engineering capabilities across modern technologies including AWS, Kubernetes, microservices, API gateways, observability platforms, CI/CD, and AI-enabled solutions. The Principal Engineer will work closely with engineering, product, and business stakeholders to define technical strategy, drive engineering excellence, and ensure delivery of secure, high‑performing, and resilient systems.

Key Responsibilities Design and build scalable, secure, and reliable enterprise applications. Define technical architecture, engineering standards, and best practices. Develop cloud-native and microservices-based solutions using AWS, Kubernetes, Docker, and API technologies.

Hands‑on development experience in any one or more of the following: Java, JavaScript or Node.js. Work on debugging, performance tuning, and solving complex technical problems. Build and manage CI/CD pipelines and DevOps automation.

Implement monitoring and observability solutions using tools like Grafana, Prometheus, CloudWatch, and OpenTelemetry. Work with databases, event-driven systems (Kafka), and infrastructure automation tools like Terraform. Mentor engineering teams and collaborate in Agile/Scrum environments.

Contribute to modernization initiatives including serverless, service mesh, and AI-enabled solutions. Required Skills & Experience 12+ years of software engineering and architecture experience. Strong experience with AWS cloud platform.

Strong understanding of distributed systems and scalable architecture. Experience with Kubernetes & Docker, microservices architecture, API gateway technologies, CI/CD tools (Jenkins, GitHub Actions, Octopus Deploy), monitoring & observability tools, Terraform / infrastructure automation, Kafka or event streaming platforms. Good problem‑solving and technical leadership skills.

Experience with AI/LLM integrations is a plus. Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status.

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