Backend Developer - Remote

ARKLOGIC, LLC

1d•Remote

About The Position

LINCGEO is seeking an experienced Backend Developer to play a key role on our team. The ideal candidate has strong, firsthand technical expertise in a variety of configuration management and data technologies and the proven ability to fashion robust scalable solutions. Attention to detail is a must as the team will be responsible for the coding, maintaining, security, and optimizing responsive web apps and related databases in collaboration with our in-house programming, UI/UX, and management team. Strong expertise in AI-integrated and data-driven technologies. We’re looking for the best and brightest developer in the industry to join our team! We have locations in NJ, PA, NY, MA, and FL, and are open to remote options as well. You must be work authorized to work for any employer in the United States on a full-time basis without the need for employer sponsorship. LINCGEO does not provide sponsorship to employees.

Requirements

5+ years of industry experience in C#, .net, node.js software development.
Demonstratable project and team Leadership
Strong knowledge of data structures and algorithms, proficient in C#, JSON, Entity Framework, and XML.
Experience designing and developing REST APIs
Proficient in writing SQL queries – Knowledge and previous experience in writing optimized SQL queries is a plus
Experience with task automation
Hands on experience in Github or similar platforms and pull request process
Previous experience building a web application from scratch
Knowledge of MIT licensed based open-source libraries
Able to articulate complex solutions through technical discussions.
Strong understanding of Web technologies and distributed systems
Strong knowledge with cloud-native technologies such as DevOps, AWS, DevExpress, Figma,
Self-starter with a can-do attitude who has relentless desire to improve quality and quantity of your output
Experience with AI/ML integration, AI APIs, or data processing frameworks (e.g., TensorFlow, PyTorch, OpenAI API, Azure ML).
Familiarity with cloud AI/ML services (e.g., AWS AI/ML tools, Azure Cognitive Services).

Nice To Haves

Curiosity towards new technology and outstanding ability to analyze and solve problems.
Demonstrated system thinking and expertise in more than one layer of multi-tier architecture.
Hands-on experience with AI-driven data processing, predictive analytics, or NLP pipelines.
Exposure to vector databases or semantic search systems (e.g., Pinecone, Azure Cognitive Search).
Passion for continuous learning and experimentation with AI technologies and emerging frameworks.

Responsibilities

Enhance our existing application written in C#, node.js, .net, JSON, Entity Framework, CSS/SASS, TypeScript, XML, and Esri ArcGIS Maps SDK for Java Script
Contribute to the development of new product modules from scratch while thinking about scalability and security.
Perform code reviews to ensure high code quality in DevOps
Mentoring junior programmers providing guidance, sharing best practices, and code efficiency based on code reviews and the goals of the product
Work closely with all staff including designers and management, working with new modules from conception to post-deployment in a fast-paced, collaborative environment.
Design client-side and server-side architecture
Develop and manage databases and applications
Proactively manage security and data protection concerns.
Build features and applications with a mobile design
Develop and implement automated tests to ensure the quality and ongoing reliability of your features
Proactively contribute ideas for new features, as well as identify areas for improvement
Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment
Effective document code with version control
Integrate and deploy AI/ML models via REST APIs (e.g., OpenAI, Azure Cognitive Services, or custom ML pipelines).
Develop intelligent backend logic for automation, predictive insights, and data processing workflows.
Build and manage data pipelines and ETL processes supporting analytical dashboards and intelligent decision-making.
Ensure backend architecture supports AI-based data analysis, semantic search, and adaptive user experiences.
Work closely with the AI team to integrate model outputs, inference engines, and NLP pipelines into production systems.