Sr Advanced Software Engineer @ Honeywell

Design and develop robust software solutions with a strong emphasis on SaaS platforms, optimizing for scalability and performance.
Collaborate with cross-functional teams to understand business needs and translate them into well-defined technical requirements.
Manage applications at scale, ensuring high availability and performance in line with industry best practices.
Develop, test, and maintain APIs to facilitate seamless integration with other systems and services.
Leverage Data Science and Artificial Intelligence concepts within the Fire Safety business to develop innovative solutions that address key customer challenges.
Utilize Microsoft Azure services to deploy and manage applications, ensuring optimal use of cloud technologies for enhanced performance and reliability.
Create advanced reporting solutions, leveraging experience with reporting tools and frameworks to provide actionable insights to stakeholders.
Work with front-end technologies such as Angular, and back-end technologies like .NET and SQL Server, delivering full-stack development capabilities.
Conduct code reviews, ensure adherence to best practices, and mentor junior team members in software development methodologies and technologies.
Collaborate on grooming and refining software solutions to improve user experience and overall functionality.
Engage with customers to understand their needsand ensure solutions align with their expectations and requirements.

YOU MUST HAVE

Bachelor s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
A minimum of 6 years of experience in software development, specifically within SaaS platform environments.
Proven expertise in Microsoft Azure services and cloud computing.
Strong experience in full-stack development, specifically with .NET, Angular, and SQL Server.
In-depth knowledge of API design and development, with practical experience managing API lifecycles.
Demonstrated ability to manage applications at scale and ensure robust customer connectivity and management.
Proficient knowledge in Generative AI, Data Engineering, and Data Science, with a solid understanding of associated methodologies and tools.
Proven expertise in implementing Data Analytics or Generative AI solutions and delivering it to customers, demonstrating both technical acumen and the ability to drive customer satisfaction through innovative solutions.

WE VALUE

Experience with Agile and Scrum methodologies.
Knowledge of DevOps practices and CI/CD pipelines.
Experience in the Fire Safety or related domain is a plus.
Familiarity with advanced reporting solutions and data visualization techniques.
Excellent problem-solving skills, with the ability to analyze complex business requirements and translate them into technical solutions.
Strong communication and collaboration skills, with a focus on customer engagement and solution grooming.