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ABOUT THE ROLE
As a Senior Engineering Manager, you will bring strong technical leadership and hands-on engineering experience to help clients design and deliver enterprise digital platforms.
With a background in software development and a passion for technology, you will lead the delivery of high-quality, well-engineered solutions for complex client environments. You will mentor developers, guide engineering practices, and help our teams adopt modern, reliable approaches to software delivery, including trusted and consistent use of AI-accelerated engineering tools and workflows. While you may have deeper expertise in one area, you will be comfortable leading teams across digital technologies such as custom web front ends (for example React, Next.js and Vue.js), mobile applications, APIs, content management platforms such as Adobe and Sitecore, commerce platforms and cloud platforms including AWS, Azure and Google Cloud. Knowledge of related capabilities such as identity, search and integration platforms will also be valuable.
In this role, you will act as a senior technical leader on enterprise implementation projects, working with technical and non-technical client stakeholders to shape practical solutions, make sound engineering decisions and support successful delivery.
Along with the experience and energy you bring to the team, you'll be responsible for:
WHAT YOU'LL BRING
We are looking for candidates with strong digital engineering experience and a track record of delivering enterprise technology outcomes. You do not need to have worked across every technology listed below; we are interested in people who can lead teams, make pragmatic technical decisions and continue learning as platforms and practices evolve.
VALUABLE EXPERIENCE
Job ID: 151438357
Skills:
containerization , Java, Distributed Systems, Prometheus, Node.js, Microservices, Jenkins, Docker, Kubernetes, Python, Cloud Native, Alerting, Go, Monitoring
Skills:
Continuous Delivery, Continuous Integration, Quality Assurance Testing, Software Engineering, Programming Languages, enterprise application architecture, application frameworks, Business Process Improvement, code reviews
Skills:
MLops, Power Bi, Azure, Python, Sql, AWS, R, LLMs, NLP techniques, ML libraries
Skills:
data engineering , Microservices, Sql, Data Factory, Java, Tensorflow, Kafka, Power Bi, Pytorch, Dax, Gcp, C, MATLAB, AWS, Power Query, Python, Kubernetes, Azure, Docker, Spark, data models, semantic layers, Warehouse, GraphDB, Lakehouse, Microsoft Fabric, Scikit-learn, Real-Time Analytics, R, enterprise datasets, NoSQL databases, ML algorithms
Skills:
.NET, Kubernetes, Sql, Microservices, Data Analytics, React, Azure Functions, Angular, Fortify, Docker, Terraform, Veracode, Azure Cloud Services, Power Platform, Api Management, Azure DevOps, AKS, Bicep, SonarCloud, Event-driven designs, Logic Apps