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As a Senior Software Engineer in the Incubator domain, you will join a dynamic, AI innovation focused team. The Incubator team operates with a high degree of autonomy to identify, develop, and validate new business ideas and technologies from high-risk moonshots to innovative concepts with the potential to drive future growth. The Incubator functions like an internal startup, rapidly testing early-stage ideas for market viability and business value. Once proven, these initiatives are scaled and transitioned to long-term product teams within JET. Current area of exploration - AI-driven conversational commerce (LLMs and agentic platforms) and other disruptive technologies. Your role will be pivotal in fostering communication and collaboration. You will work closely with product owners, front-end engineers on web and mobile, as well as other backend engineers. Together, you will design and implement new features, enhance existing ones, boost performance, streamline platforms, and develop robust and scalable backend solutions that serve our extensive customer base.
Job Responsibility:
Developing and executing new innovative ideas, staying current with industry trends, and applying a "fail fast" approach
Master the craft of writing high-quality, thoroughly tested code within a high performing team
Take ownership of projects, mentor peers, and collaborate effectively
Introduce innovative ideas and develop robust, well-considered code
Adhere to and help refine the team’s standards and processes
Contribute to setting these standards to ensure continuous improvement
Pursue ongoing personal development by learning from teammates and applying this knowledge to benefit the team and enhance the applications
Clearly communicate the technical efforts of your team to other engineering groups
Requirements:
Strong software engineering and architectural experience, ideally with C#/.Net
A deep understanding of event driven architecture & distributed systems
Experience of working with big data & near real time data processing problems
Experience (or a deep curiosity) in integrating AI models, with an understanding that the 'best' solution often involves balancing cost, speed, and accuracy
Proficiency in cloud platforms (AWS, Azure or GCP for example)
Strong problem solving skills
Experience of guiding software engineering decisions via influence, rather than by authority
Flexible & proactive with the ability to manage shifting priorities
Nice to have:
Experience with mobile apps and managing distributed teams