• Lead the design and delivery of enterprise-grade Azure platforms.
• Collaborate with AI and ML Engineers to enable agentic ai development.
• Competitive remuneration, bonuses, and a suite of employee benefits.
• Hybrid work environment that values inclusion, collaboration and flexibility.

YOUR SKILLS AND EXPERIENCE

This role is ideal for a staff level backend engineer with deep platform development experience, demonstrable exposure and a passion for building infrastructure that developers and ML engineers love, and a commitment to delivering and influencing the delivery of best practice engineering solutions.

To this role, the ideal applicant will bring:

• Proven expertise in Azure platform development, including cloud-native infrastructure and associated services.
• Experience integrating with .NET applications, with a strong understanding of their architecture and runtime behaviour.
• Working knowledge of AI and Agentic AI principles, either through direct development or collaboration with AI teams.
• Skilled in identifying and executing automation opportunities to drive efficiency and scalability.
• Exposure to monitoring and observability stacks (e.g., Azure Monitor, Grafana, Prometheus).
• Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and Infrastructure as Code (Terraform, ARM templates).
• Familiarity with Power Platform and Copilot Studio, or a strong interest in learning and integrating them.
• A disciplined approach to engineering in regulated environments, balancing innovation with compliance.
• Strong communication skills and a track record of mentoring and influencing engineering best practices.

Your work will empower experimentation, deployment, and monitoring of autonomous agents, while ensuring the platform remains resilient, scalable, observable, and compliant. Your expertise will be pivotal in shaping the infrastructure and tooling that underpin intelligent digital experiences for our colleagues and customers. Key Responsibilities include:

• Architect and maintain Azure cloud infrastructure, with occasional AWS integration.
• Build backend services and automation pipelines to support platform operations.
• Integrate with and support .NET-based applications across the team’s ecosystem.
• Partner with ML Engineers to support model training, deployment, and observability.
• Implement monitoring and observability using pro-code, low-code, or no-code tools.
• Identify and deliver automation opportunities across infrastructure and development pipelines.
• Ensure platform reliability, security, and compliance aligned with Group risk appetite.
• Collaborate with a Product Owner based in India (flexibility across time zones is essential).
• Optimise performance and scalability through cloud architecture best practices

To this role, the ideal applicant will bring:

• Proven expertise in Azure platform development, including cloud-native infrastructure and associated services.
• Experience integrating with .NET applications, with a strong understanding of their architecture and runtime behaviour.
• Working knowledge of AI and Agentic AI principles, either through direct development or collaboration with AI teams.
• Skilled in identifying and executing automation opportunities to drive efficiency and scalability.
• Exposure to monitoring and observability stacks (e.g., Azure Monitor, Grafana, Prometheus).
• Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and Infrastructure as Code (Terraform, ARM templates).
• Familiarity with Power Platform and Copilot Studio, or a strong interest in learning and integrating them.
• A disciplined approach to engineering in regulated environments, balancing innovation with compliance.
• Strong communication skills and a track record of mentoring and influencing engineering best practices