Application Modernisation - Lead Engineer

at  Deloitte

DESCRIPTION:

Job Requisition ID: 36628

ABOUT US:

Engineering AI& Data (EAID) are an integrated team of industry specialists, technologists, and operations transformation experts. We work with our clients to transform and run their technology platforms, optimise their operations, and help them take advantage of new technologies, drive innovation, improve financial performance and accelerate speed to market.

REQUIRED SKILLS:

Technical expertise with around 15 years of experience in Software engineering.
Cloud Expertise: Extensive experience with cloud platforms like AWS, Azure, or Google Cloud, including the design and execution of cloud migrations, architecture, and service integrations.
Microservices & Modern Architectures: Expertise in transitioning from monolithic to microservices architectures, event-driven systems, containerised solutions, and serverless applications.
DevOps & Automation: Deep understanding of DevSecOps practices, including the implementation of CI/CD pipelines, infrastructure as code (IaC), and container orchestration (e.g., Docker, Kubernetes).
Technology & Tools: Familiarity with modern development frameworks, languages (Java, Python, .NET, etc.), and tools for automation, cloud management, and performance monitoring.
Consulting & Leadership: Strong consulting experience with the ability to lead client engagements, communicate complex technical concepts clearly, and manage stakeholder expectations effectively.
Problem Solving & Innovation: Excellent analytical skills with the ability to address complex technical challenges, propose innovative solutions, and deliver value to clients.
Agile Methodologies: Experience working in Agile environments, applying methodologies like Scrum and Kanban to deliver iterative, high-quality results

Please refer the Job description for details