Senior Manager - Principal Software Engineer

Salary: £41,000 - 81,000 per year Requirements: • Software engineering experience with demonstrable progression to senior technical roles • Extensive full-stack development expertise including backend (.NET Core, C#) and frontend (Angular or React, TypeScript, JavaScript) • Proven experience in delivering enterprise-scale cloud solutions on Microsoft Azure • Strong track record in managing and coaching engineering teams (minimum 3+ years in Tech Lead roles) • Experience with AI-native software delivery and specification-driven development, including the use of AI-assisted engineering tools, automated quality assurance, modern testing practices, and highly automated CI/CD workflows within enterprise-scale environments • Experience in microservices architecture, distributed systems, and RESTful API development and integration • Experience in Git, GitHub, and modern CI/CD practices including automated testing and deployment pipelines • Hands-on experience with Agile software development methodologies (Scrum, Kanban) and DevOps practices • Strong database design, data modelling, and development expertise across relational (SQL Server, PostgreSQL) and NoSQL platforms such as Azure CosmosDB • Demonstrated ability to balance technical execution with people management and product accountability • Proven problem-solving skills and analytical thinking with ability to tackle complex technical challenges • Strong decision-making capabilities with ability to evaluate trade-offs and make pragmatic choices under pressure • Familiarity with agentic AI frameworks and architectures (e.g. Microsoft Agent Framework and/or equivalent frameworks in other languages) • Experience architecting for scalability, performance, security, and operational excellence • Experience with Databricks, data engineering, or analytics platforms • Familiarity with Node.js, and Typescript backend development • Knowledge of modern frontend build tools, CSS frameworks, and responsive design principles • Background in professional services, consulting, or client-facing technical delivery • Contribution to open-source projects or active participation in engineering communities • Relevant associate or expert-level certifications in Microsoft Azure, Databricks, modern JavaScript frameworks or full-stack development Responsibilities: • Provide accountability and engineering direction for a portfolio of products and delivery teams • Lead by example through hands-on technical contribution and solving critical technical challenges • Establish, evolve, and enforce engineering standards, coding practices, quality gates, and governance frameworks that enable safe, scalable, and effective AI-native software delivery • Champion engineering excellence across the full software delivery lifecycle, driving secure-by-design development, comprehensive observability, modern testing practices, resilient deployment strategies, and operational excellence at scale • Ensure solutions are designed and delivered to enterprise-grade standards, embedding security, performance, resilience, scalability, and operational readiness from inception through to production • Represent engineering in portfolio intake and triage discussions • Collaborate with solution architects to ensure solutions align with broader architectural patterns and standards • Champion and scale AI-native, specification-driven development practices across engineering teams • Establish and embed the use of standards, frameworks and tooling for AI-augmented development across SDLC (e.g. define standards for prompt engineering, AI code review practices, and human-in-the-loop workflows) • Champion the adoption of GitHub Copilot, Claude Code and other approved AI coding assistants as core development tools • Drive technical innovation through proof-of-concepts and evaluating emerging AI engineering tools and platforms • Demonstrate measurable improvements in delivery velocity, quality, or efficiency through AI adoption based on production use cases • Coach and develop engineering teams, fostering a culture of excellence, learning, and AI adoption • Foster collaboration across teams, breaking down silos and promoting knowledge sharing Technologies: • Agentic AI • AI • API • Angular • Azure • Backend • C# • CI/CD • Claude Code • Cloud • Copilot • CSS • Databricks • DevOps • Frontend • Git • GitHub • Support • JavaScript • Kanban • Network • NoSQL • PostgreSQL • React • SQL • Security • TypeScript • microservices • ASP.NET • NodeJS More: We are KPMG in the UK, part of a global network of firms that offer Audit, Legal, Tax and Advisory services. With over 16,000 colleagues, we bring creativity, insight and experience to help solve our clients and communities biggest problems, and we have been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work, with a collaborative and inclusive culture, technology that empowers our people, and real flexibility through inspiring workspaces, innovative ways to collaborate, and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals across virtually every industry. Our mission is to support the UK in a connected world, guided by our values of Courage, Integrity, Excellence, Together and For Better. We are an inclusive, equal opportunity employer and member of the Business Disability Forum, committed to fair recruitment and valuing individuality, diversity of background, experience, and perspective. last updated 36 week of 2026