Dotnet Sr. Architect

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Chicago, IL, is seeking a skilled Dotnet Sr. Architect to lead .NET application architecture and cloud implementation. The role requires extensive experience in modern software principles and a solid background with Azure and microservices.

The ideal candidate should have over 14 years of experience in designing scalable and secure application solutions, while collaborating with cross-functional teams to meet business goals effectively. Strong technical leadership and communication skills are essential.

Qualifications

• 14+ years of solid experience with relational and NoSQL databases.
• 5+ years of experience in unit testing using xUnit, NUnit, etc.
• Deep understanding of Software Design Principles and Architecture Patterns.

Responsibilities

• Lead the architectural design and development of .NET applications.
• Design and implement cloud architectures on Microsoft Azure.
• Provide technical guidance and mentorship to development teams.

Skills

Application Modernization

Cloud Architecture Design

Microservices Development

RESTful API Design

Software Design Principles

Communication Skills

Leadership Skills

Tools

Microsoft Azure

SQL Server

PostgreSQL

Cosmos DB

C#

ASP.NET

Angular

React

JQuery

xUnit

NUnit

Job description

Job Overview

Job ID: J52829

Job Title: Dotnet Sr. Architect

Location: Chicago, IL

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

Job Description of Role*

• Lead the architectural design and development of .NET applications, ensuring scalability, performance, and security.
• Design and implement cloud architectures on Microsoft Azure, leveraging services such as Azure App Services, Azure Functions, Azure SQL Database, and Azure Kubernetes Service (AKS).
• Develop and promote microservices-based solutions, ensuring modularity, reusability, and maintainability.
• Expertise in application modernization, legacy transformation, and cloud adoption projects.
• Hands on experience on Design Patterns.
• Oversee the design and implementation of RESTful APIs, ensuring consistency and adherence to best practices.
• Work closely with development, product teams and customer to translate business requirements into technical solutions.
• Provide technical guidance and mentorship to development teams, fostering a culture of continuous improvement.
• Establish and enforce architectural standards, coding practices, and security protocols.
• Stay up to date with emerging technologies and contribute to architectural decisions.
• Strong leadership, mentoring, and communication skills, with a track record of guiding teams and driving technical initiatives.
• Implement best practices for application performance, security, and scalability.
• Optimize application performance through code optimization, caching strategies, and database indexing.
• Collaborate with UX/UI designers and product teams to translate requirements into high-quality, user-centered designs and implementations.
• Conduct code reviews and enforce coding standards across the team.
• 14+ years of solid experience with relational and NoSQL databases (SQL Server, PostgreSQL, Cosmos DB).
• Experience in HTML5, CSS3, jQuery and JSON, Bootstrap.
• Deep understanding of Software Design Principles and Software Design Patterns.
• 5+ years of experience in unit testing using xUnit, NUnit, etc.
• Deep understanding of architecture patterns.
• Excellent communication skills.
• Good collaboration with client from onsite location and with offshore team.

Soft skills/other skills

• Strong oral, presentation and written communication are must have.
• Ability to see the big picture, align technical decisions with business goals, and design scalable future‑proof solutions.
• Confident in making architectural decisions based on data, trade-offs, and long‑term value.
• Strong interpersonal skills to build and maintain productive relationships with team members.
• Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
• Strong organization, collaboration, and time management skills.
• Analytical mindset with a proactive approach to identifying risks, resolving challenges, and proposing innovative solutions.

Expected Outcome

• Seeking a highly skilled Technical Architect with hands on expertise in the .NET technology stack to lead the end‑to‑end architecture of the project for legal domain.
• The ideal candidate will be responsible for designing scalable, secure, and performance‑optimized solutions using technologies like C#, ASP.NET, Web API, .NET (Core and Framework), Angular/React, NUnit and Azure.
• The architect will define and maintain high‑level and low‑level design documentation, guide implementation according to architectural standards, and ensure adherence to best practices in coding, testing, and deployment.
• This role demands strong collaboration onsite with product owners, business analysts, and cross‑functional teams to translate complex business requirements into robust technical designs.
• Establish architectural governance models, conduct design reviews, and ensure adherence to architectural decisions.

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.