Software Engineer, VP

Join us as a Software Engineer

• This is an opportunity for a technically minded individual to join us as a Software Engineer
• You'll be designing, producing, testing and implementing working software, working across the lifecycle of the system
• Hone your existing software engineering skills and advance your career in this critical role
• We're offering this role at vice president level
  
  

What you'll do

Working in a permanent feature team, you'll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You'll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.

You'll Also Be

• Applying Agile methods to the development of software on the backlog
• Producing resilient and long-lived software and acting flexibly to cope with future needs
• Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
• Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns
  
  

The skills you'll need

We're looking for someone with twelve years of strong full stack experience in software design and implementation, including being able to exploit programming languages to solve complex problems. You'll also need to be capable of complex requirements analysis capture and validation against and with business and systems requirements.

Additionally, You'll Demonstrate

• Build and manage scalable AI/ML and Generative AI platforms using cloud-native technologies, primarily on AWS, with exposure to GCP and Azure
• Lead the end-to-end delivery of AI/ML solutions, from architecture and design through deployment, monitoring, optimization, and support
• Implement MLOps/LLMOps best practices, including model serving, governance, observability, and performance/drift monitoring
• Drive automation and operational excellence through CI/CD pipelines, security and compliance controls, and efficient cloud/GPU resource utilization
• Collaborate with engineering, data science, and architecture teams to deliver secure, reliable, and production-ready AI solutions aligned with enterprise standards