Software Engineer

As the Full Stack Software Engineer, you will help JLL Technologies build the world s best AIdriven applications for exploring and analyzing the global commercial real estate market while helping real estate owners and occupiers see options and context.

Responsibilities

• Hands-on Development on our leadingAI (Artificial Intelligence)Apps and Platform Team.

• Innovate new AI driven ideas and perform quick proof-of-concepts.

• Design and implement features and epics

• Automated Unit Testing and Automated QA Testing

• Review code and enforce team standards for quality, test coverage, performance etc.

• Network with engineers at adjacent teams and facilitate alignment and information sharing

• Continuously improve the development/delivery process

• Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL business requirements.

• The application is a Premium Tier 1 app. Though production incidentshappensrarely, flexibility to support the Team during off hours in case of Incidents is expected from this role.

Sound like the job you re looking for

Before you apply it s also worth knowing what we re looking for:

Minimum Qualifications

• 2+ years of experience developing rich interactive web applications

• Excellent programming, software architecture, and communication skills

• Experience with agile software development methodologies (Scrum, etc.)

Technical Skills & Competencies (Mandatory)

• C#, .NET Core

• React.js 16.8+ using ES6+ or TypeScript, Redux, Hooks

• Rest API development

• CosmosDB or other NoSQL Databases

• Experience with developing using services on Azure or AWS Cloud

• DevOps tools and pipelines such as GitHub Workflows.

• Agile Scrum/Kanban working experience are preferred.

• Good technical writing, documentation, and communication skills.

• Self-motivated team player who is flexible and adapts in quickly changing environment.

Technical Skills & Competencies (Preferred)

• Monitoring tools like Datadog, Splunk, etc.

• Experience with LLMs.

Preferred Qualifications

• Ability to define and implement a solution across a complex application stack

• Bachelors in Computer Science or Engineering