TechLead – Sr. .Net/Angular Developer

MACHINE LEARNING TECHNOLOGIES LLC; Windsor (CT); On-site; USD 83,000 - 131,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Windsor, CT is seeking a TechLead – Sr. .Net/Angular Developer to lead geospatial application development using AngularJS, Angular, and the .NET stack. You will collaborate with cross-functional teams to translate requirements into scalable software solutions.

Responsibilities include code optimization, thorough testing, mentoring junior developers, and ensuring high-quality, reliable applications while staying current with geospatial tech trends.

Qualifications

• Experience with geospatial applications using AngularJS, Angular and .NET stack.
• Strong collaboration to gather requirements for geospatial solutions.
• Ability to implement best practices for high-quality, efficient code.

Responsibilities

• Develop and maintain geospatial applications using AngularJS, Angular, .NET Framework, and .NET Core.
• Collaborate with cross-functional teams to gather and analyse user requirements for geospatial solutions.
• Implement best practices to ensure high-quality and efficient code.
• Optimize application performance by identifying and resolving bottlenecks in the codebase.
• Conduct thorough testing and debugging to ensure functionality and reliability.
• Provide technical support and troubleshooting for geospatial applications to ensure seamless operation.
• Stay updated with latest technologies and trends in geospatial development to improve applications.
• Document processes and code changes for future reference and knowledge sharing.
• Participate in code reviews to maintain code quality and consistency.

Skills

AngularJS

Angular

NET Framework

NET Core

Geospatial

Job description

Job Description

• Job ID: J52687


• Job Title: TechLead – Sr. .Net/Angular Developer


• Location: Orange Way, Windsor, CT


• 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

• Develop and maintain geospatial applications using Angular JS, Angular, .Net Framework, and .Net Core to meet business requirements.


• Collaborate with cross-functional teams to gather and analyse user requirements for geospatial solutions.


• Implement best practices in software development to ensure high-quality and efficient code.


• Optimize application performance by identifying and resolving bottlenecks in the codebase.


• Conduct thorough testing and debugging of applications to ensure functionality and reliability.


• Provide technical support and troubleshooting for geospatial applications to ensure seamless operation.


• Stay updated with the latest technologies and trends in geospatial development to continuously improve applications.


• Document application processes and code changes for future reference and knowledge sharing.


• Participate in code reviews to maintain code quality and consistency across projects.


• Assist in the integration of geospatial applications with other enterprise systems.


• Contribute to the design and architecture of scalable geospatial solutions.


• Mentor junior developers and provide guidance on best practices in geospatial application development.


• Engage in continuous learning and professional development to enhance technical skills and knowledge.

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