Software Engineering Manager

Salary: £100,000 - 100,000 per year

Requirements:

• We are looking for someone with 3 years leading or managing software engineers, including coaching and career development, and the ability to lead through influence rather than formal authority.
• We need a strong backend or platform engineering background, with hands-on technical depth at the Tech Lead level and the ability to be both highly technical and an effective people manager.
• We are seeking hands-on experience building AI/ML applications, including RAG, agent frameworks, MCPs, skills, and harnesses, and taking them to production or platforming them.
• We value experience operating production distributed systems on AWS or Azure, with a strong grasp of reliability, observability, and incident response at scale.
• We are looking for excellent communication skills, with the ability to build consensus and translate technical topics for engineers and executives alike.
• We want a strong sense of ownership and humility, with a thoughtful perspective on humans and AI agents working on the same team, including what humans should and should not delegate.
• We seek deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.
• We value strong experience using AI tools to lead innovation initiatives.
• We are looking for demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.
• We require a Bachelors or Masters degree in Computer Science, Software Engineering, or a related field; an advanced degree is preferred.

Responsibilities:

• We will embed across high-priority projects as a player-coach engineering leader in the Strategy and Innovation team.
• We will guide architectural decisions across AI-powered services, agent frameworks, and the Agentic software development lifecycle.
• We will coach and manage several engineers across squads, leading through influence and partnering with product managers and tech leads.
• We will stay hands-on by diving into codebases, shipping production-grade changes, reviewing code at a high bar, and running incidents when needed.
• We will challenge technical decisions and help engineers think through complexity, shaping solutions rather than simply reviewing them.
• We will invest in engineers growth through one-on-ones, coaching, feedback, and career development conversations.
• We will drive cross-team alignment and adoption of engineering best practices, including operational rigor and reliability standards.
• We will build trust with stakeholders through clear communication, sharing progress, surfacing risks early, and bringing people along on technical direction.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• Backend
• Databricks
• RAG
• Cloud
• LLM
• MCP

More:

We are Moodys, and through our AI Strategy and Innovation team we shape our product ecosystem with AI, data, and strategic partnerships to deliver next-generation solutions. We embed AI across product strategy using large language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, we drive transformation across Moodys at the intersection of AI, data, and financial intelligence in a digital-first world. We are committed to an inclusive environment where everyone feels welcome, and we are an equal opportunity employer.

last updated 35 week of 2026