Senior . NET Engineer

Job highlights

• Experience in Big Data technologies and Advanced Coursework in AI and Machine Learning would be a plus

Key Attributes and Abilities:

• Empathy towards End Users.

• Innate Quality and Process Orientation. Belief in Standards and Best Practices.

• Passion for Team s Success and Own Advancement.

• Sharing knowledge, Expressing Own Viewpoints, Encouraging Colleagues to Express, and Striving towards Objective-driven Consensus.

• Strong Requirements Analysis and Creative Problem Solving.

• Prioritizing Competing Objectives and Multi-tasking.

• Writing Clear, Concise, and Highly Readable Problem and Solution Statements. Articulating Complex Subjects via Engaging Presentations.

Critical Experiences:

• Complete Solution Life Cycle Participation (Ideation, Requirements Elicitation, Architecture, Data Structure and Algorithm Design, Development, Testing, Deployment, Implementation, Training, Change Management, Monitoring and Enhancement).

• Designing and Implementing Effective, Simple and Flexible Technical Solutions to High-dimension Problems, using Service Oriented Architecture, REST and Microservices.

• Delivering On-time, High Quality Solutions in High-pressure Environments.

Key Knowledge Areas:

• Design Patterns.

• Design Thinking.

• Big Data and Streaming Technologies

Technical Expertise and Familiarity:

• Microsoft: .NET Core, ASP.NET, C#, NUNIT.

• Frameworks/Technologies: MVC, Web Services, REST API, Javascript, JQuery, CSS, ReactJS/AngularJS,Testing Frameworks.

• App/Web Servers: Tomcat/IIS.

• Databases & Streaming: Oracle, MySQL, NoSQL Databases such as MongoDB, Apache Kafka, In-memory Processing.

• Big Data Technology: Azure App Services, Azure Active Directory, Key Vault, Azure DevOps, Application Insights, Azure Storage, Redis Cache

• O/S: Linux, Unix, Windows.

• Experience in Big Data technologies and Advanced Coursework in AI and Machine Learning would be a plus.

Responsibilities:

• Review business requirements and understand business solution directions, analyse, dissect system requirements and technical specifications.

• Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle.

• Propose and implement best in class solutions for large business problems. Develop effective approaches for optimizing response times and computing resources and automate work processes.

• Support continuous improvement by investigating alternative approaches and technologies; and presenting them for architectural review.

• Implement enhancements and fix bugs as client priorities. Take ownership of issues and meeting SLAs.

• Support and develop software engineers by providing advice, coaching and educational opportunities.

• Providing guidance and standards to the team. Conducting design and code reviews.