Position: Senior .NET Full Stack Engineer (IRC175496)
Company: GlobalLogic
Category: .NET
Experience required: 3y
English level: upper

We are looking for a Senior .NET Full Stack Engineer

**Job Description**
Solid programming experience (4+ years).
.NET backend development with REST API experience.
Frontend development with HTML, CSS, React framework, and JavaScript.
The candidate can be stronger in one of the areas (FE or BE), but he/she needs to be available to work with both technologies.
Problem-solving skills including knowledge of data structure and algorithms.
Experience in the Agile software development process.
Like to collaborate within engineering and beyond.
Experience with containerization (Docker / Kubernetes) and cloud infrastructure is desired.
Advanced English level.

**Job Responsibilities**
Work with the product team on requirements analysis and make technical trade-off decisions
at the application level (e.g. component design).
Define and develop solutions to technical problems that arise.
Use your expertise to input into reengineering and design.
Act as a subject matter expert for focus areas across the technology space.
Follow and improve the coding standards with the team, ensuring high code quality.
Actively look for the latest tools and technologies within or outside the company.
Actively learn and help implement the new industry standards related to products, people,
and processes.
Identify the inefficiencies in the process and help the team to improve them to maximize the
team’s performance.
Help identify the dependencies, risks, and bottlenecks in the projects proactively. 
Work actively with the Engineering Manager/Team Lead to resolve them.

**Department/Project Description**
The client is a global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy.
Product help finds new value in their existing assets by monetizing them effectively – from in-store signage to websites and apps. A world-leading data science capabilities improve the effectiveness of Retail marketing, giving Brands the confidence to invest their ad spend, and driving up the value of media inventory over the long term.