Back-end Developer

November 4

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Mohr Partners, Inc.

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commercial real estate • corporate real estate • global corporate services • real estate advisory • gcs

201 - 500

Description

• Develop new user-facing features for internal applications • Build template capable code and libraries for future use • Write clean and thoroughly commented code to develop functional web applications • Design and support APIs (REST) for internal applications and future integrations with external systems • Create functional requirements documents, Sequence diagrams, Data Flow diagrams, User Scenario dictionaries and data dictionaries for internal applications • Plan, support, and participate in the entire application lifecycle, with an emphasis on coding and debugging • Assist Front-end Developers, AI Engineers, and Data Analysts with coding, troubleshooting, and bug fixes • Identify and resolve security flaws and vulnerabilities in code solutions, including vulnerabilities discovered by external penetration testing companies • Continue enhancing skillsets on coding languages, libraries, and emerging technologies

Requirements

• Proficient with Java, Python, PHP and C# languages • Proficient with SQL (PostgreSQL, MySQL, MS SQL) and Database Administration • Proficient with API construction, integration, and refinement (GraphQL preferred) • Good understanding of coding frameworks (Node.js and Nest.js preferred) • Proficient with ORM tools like Sequelize, TypeORM, CMS, and others to support backend logic in applications • Strong knowledge of the entire web development process and environment deployment • Experience using code repositories for versioning (Git, GitHub) • Experience with deploying and maintaining infrastructure and components for web applications in Cloud environments (experience with Azure preferred) • Familiarity with HTML5, CSS, JavaScript and similar front-end languages • Experience with AI/ML solutions, integrations with front-end solutions, and developing solutions to incorporate AI is preferred • Familiarity with Data Science / ML python libraries (numpy, scikit-learn, pandas, pyTorch, keras, etc.) is a plus