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Machine Learning Technologies LLC

Oaks / Global

Tech Lead .Net Full Stack

Job Description

Job Overview

Job ID: J52444

Job Title: Tech Lead .Net Full Stack

Location: Oaks, PA

Duration: 12 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

Summary

The Technical Lead will primarily focus on development, maintenance, and support of .NET applications. This role will be responsible for delivery of critical product requirements and will be interact with a culturally and technically diverse team, which includes .NET Developers, SQL developers, QA and product management teams.

Essential Functions/Responsibilities

Leads in defining, documenting and developing software, software applications, as well as contributes to architecture and technical design discussions, code reviews and technical design/specifications in collaboration with the project team

Responsible for development, enhancement, testing, support, maintain and troubleshoot/ debug software applications that support business units or support functions. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools.

Provides sound project management skills to the team and assignments

Creates thorough, professional quality project documentation and technical specifications

Evaluates software change requests, determines business need or conducts root cause analysis, and implements technically efficient solutions

Assess the impact of software changes and new development on other systems; conducts integration tests to mitigate risks

Mentors peers and junior team members, and participates in and promotes a knowledge-sharing environment

Proactively recommends, schedules, and performs software improvements and upgrades

Recommends best practices and policies for installing, configuring, maintaining, and troubleshooting end user access and usage of database applications

Specific Job Skills And Experience

8 or more years of related experience; or equivalent combination of education and experience

Experience with the full software development life cycle, including design, testing, deployment, and documentation activities (including agile and scrum patterns)

.NET Core Architecture understanding.

Application development C#, ASP .Net Core, SQL Server

.NET Framework, MVC & Web API 2.0

Expertise in Web-Development technologies: Angular 12 and above, HTML, Bootstrap, JQuery, CSS3.

REST Services Architecture knowledge

Some experience in Data Visualization with either Power BI or Tableau

Good experience with Cloud Platform specifically in Microsoft Azure

Unit Testing Frameworks

Web Development Concepts (State Management, Stateless Development)

SQL Server 2017/ 2019/ 2022 and SSIS packages

Asynchronous Programming Paradigm

LINQ & Lambda Expressions

Solid background in Designing & Implementing Applications using technologies defined by the Enterprise Architecture

Strong experience in analyzing and optimizing already deployed applications

Extensive knowledge and hands on experience designing and developing objects and components of relational database

Strong experience with Agile methodologies

Knowledge and understanding of SDLC, with a strong preference for Agile experience

Skill for writing reusable libraries

Must have experience on full stack development on Microsoft platform

Excellent written/verbal communication, presentation, and listening skills

Excellent collaboration/teamwork skills

Understanding of fundamental design principles for building a scalable application

Experience creating database schemas that represent and support business processes

Familiar with various design and architectural patterns

Knowledge of concurrency patterns

Known experience in Caching techniques

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.

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