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- Tasks: Develop and maintain software solutions for our CRE Investment Business using full stack methodologies.
- Company: Join a dynamic team focused on innovative technology solutions in the investment sector.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and learning.
- Why this job: Work on cutting-edge AI features and enhance system security while collaborating with diverse teams.
- Qualifications: Bachelor's or master's in computer science; experience in full stack development and AI technologies required.
- Other info: Agile environment with sprint planning, daily stand-ups, and peer review sessions.
The predicted salary is between 43200 - 72000 £ per year.
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Develop and maintain end-to-end software solutions to support our CRE Investment Business, leveraging your expertise in full stack development methodologies.
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Collaborate with cross-functional teams, including data scientists, designers, product managers and business, to build and implement AI-driven features and functionalities into our technology products.
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Design and implement RESTful APIs, microservices, and cloud-based solutions for scalability and reliability.
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Integrate machine learning models into backend services to solve complex business problems and enable predictive analytics.
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Ensure high code quality and efficiency by writing clean, maintainable, and testable code.
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Work in an agile development environment, with sprint planning, daily stand-ups, and code reviews.
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Work on critical features that help enhance system security – including recommendations from static code scan, Dynamic Application Security Testing and Penetration testing results.
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Perform and participate in peer review sessions.
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Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
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Proven experience in full stack software development, with expertise in both front-end and back-end technologies (e.g., JavaScript, HTML/CSS, Python, NodeJS, C#, Java).
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Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision.
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Familiarity with AI frameworks and libraries, including OpenAI, PyTorch, or Keras.
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Experience in developing and deploying scalable cloud-based applications using platforms like AWS, Azure, or Google Cloud.
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Solid understanding of database concepts, specifically SQL and NoSQL databases.
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Proficiency in working with version control systems (e.g., Git) and DevOps pipelines.
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Excellent problem-solving skills and ability to learn new technologies quickly.
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Strong communication and collaboration skills.
Senior Full Stack Engineer (React, .NET) employer: Jones Lang Lasalle
Contact Detail:
Jones Lang Lasalle Recruiting Team
+442074934933
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full Stack Engineer (React, .NET)
✨Tip Number 1
Make sure to showcase your experience with full stack development methodologies during networking events or meetups. Engaging with professionals in the field can help you learn about potential job openings and get insider tips on what we value at StudySmarter.
✨Tip Number 2
Familiarize yourself with the latest AI technologies and frameworks like OpenAI, PyTorch, or Keras. Being able to discuss these topics confidently in conversations can set you apart from other candidates and show your passion for the role.
✨Tip Number 3
Participate in online coding challenges or contribute to open-source projects that focus on RESTful APIs and microservices. This hands-on experience not only sharpens your skills but also provides concrete examples to discuss during interviews.
✨Tip Number 4
Join relevant online communities or forums where developers share insights about cloud-based applications and DevOps practices. Engaging in discussions can help you stay updated on industry trends and demonstrate your commitment to continuous learning.
We think you need these skills to ace Senior Full Stack Engineer (React, .NET)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full stack development experience, particularly with React and .NET. Include specific projects where you implemented AI-driven features or worked with cloud-based solutions.
Craft a Compelling Cover Letter: In your cover letter, emphasize your collaboration with cross-functional teams and your experience in agile environments. Mention any relevant machine learning projects and how they relate to the role.
Showcase Your Technical Skills: Clearly list your technical skills related to the job description, such as proficiency in JavaScript, HTML/CSS, Python, and experience with AI frameworks like OpenAI or PyTorch. Provide examples of how you've used these technologies in past roles.
Prepare for Technical Questions: Be ready to discuss your experience with RESTful APIs, microservices, and cloud platforms during interviews. Prepare examples of how you've ensured code quality and participated in peer reviews.
How to prepare for a job interview at Jones Lang Lasalle
✨Showcase Your Full Stack Expertise
Be prepared to discuss your experience with both front-end and back-end technologies. Highlight specific projects where you utilized JavaScript, HTML/CSS, Python, or C#. This will demonstrate your versatility and depth of knowledge in full stack development.
✨Demonstrate AI Knowledge
Since the role involves integrating AI-driven features, be ready to talk about your experience with machine learning, NLP, or computer vision. Mention any relevant frameworks you've used, like OpenAI or PyTorch, and how you've applied them in past projects.
✨Discuss Cloud Solutions
Familiarize yourself with cloud platforms such as AWS, Azure, or Google Cloud. Be prepared to explain how you've developed and deployed scalable applications in the cloud, and share any challenges you faced and how you overcame them.
✨Emphasize Collaboration Skills
This position requires working with cross-functional teams. Share examples of how you've successfully collaborated with data scientists, designers, or product managers in the past. Highlight your communication skills and ability to work in an agile environment.
