Technical Lead .net

MACHINE LEARNING TECHNOLOGIES LLC; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA seeks a Technical Lead .NET to design, develop, and maintain large-scale web apps and SaaS solutions. You will build robust back-end services with C#/.NET Core and lead front-end work using React and TypeScript, while integrating MS SQL/SQL Azure with EF Core.

You should have 13+ years of hands-on experience, deep Azure knowledge, and experience with MongoDB, NUnit, Moq, Jest, Git/SVN, and Azure DevOps.

Qualifications

• A degree in Computer Science, Engineering, or a related technical field, or equivalent work experience.
• Extensive hands-on web app development experience, minimum 13 years.
• Strong Azure toolset knowledge: Key Vault, Storage, Queues, Blob.

Responsibilities

• Design, develop, and maintain large-scale web apps and SaaS solutions with performance and security.
• Use C#/.NET Core to build robust backend services.
• Lead frontend work using React and Typescript.
• Design relational DBs with MS SQL/SQL Azure; EF6/EF Core.
• Integrate MongoDB and perform unit testing with NUnit, Moq, Jest.
• Collaborate via Git/SVN and Azure DevOps; cloud apps on MS Azure.
• Leverage Power BI/Tableau for data-driven decisions.

Skills

C# .NET Core

React

TypeScript

Azure

MongoDB

NUnit

Moq

Jest

Git

SVN

Azure DevOps

Power BI

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

SQL Server

SQL Azure

EF 6/EF Core

Job description

Job ID: J53157

Job Title: Technical Lead .net

Location: Alpharetta, GA

Duration: 24 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Key Responsibilities

• Design, develop, and maintain large-scale web applications and SaaS solutions, ensuring high performance, scalability, and security.
• Utilize Microsoft technology stack, including C# and .NET Core, to build robust backend services.
• Demonstrate expert-level proficiency in at least one modern front-end technology, such as React, along with Typescript for application development.
• Design and implement relational database solutions using MS SQL/SQL Azure, EF 6, and EF Core.
• Integrate and manage non-relational databases like MongoDB to support application needs.
• Conduct comprehensive unit testing using tools like NUnit, Moq, and Jest to ensure code quality and reliability.
• Manage code versions and collaborate effectively using distributed version control systems like Git or SVN.
• Utilize collaboration tools such as Azure DevOps, to streamline development processes.
• Develop cloud-based applications with platforms like MS Azure, optimizing for performance and cost.
• Apply business analytics knowledge, preferably with tools like Power BI, Azure Analysis Services, Tableau, or Anaplan, to enhance data-driven decision-making.

Qualifications

• A minimum of 13 years of hands-on experience in web application development.
• A degree in Computer Science, Engineering, or a related technical field, or equivalent work experience.
• Proven experience in developing large Web applications and SaaS solutions.
• Solid understanding of Azure toolset including Key Vault, Azure Storage, Queues, and Blob.

Nice To Have

• Experience with responsive web design and a good understanding of HTML5, CSS, and SCSS.
• Proficiency in JSON and REST API integration.
• Familiarity with MS Power BI usage and integration.

Professional Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills, with the ability to articulate technical concepts clearly.
• A collaborative mindset and experience working in agile development environments.
• A continuous learner, staying up-to-date with the latest industry trends and technologies.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.