Senior Lead Platform Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
• Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Experience coaching senior engineers or leads on compliant usage patterns and controls.
• Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
• Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
• Programming skills in Golang or Python, with understanding of software development best practices.
• Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
• Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
• Deep understanding of cloud infrastructure design, architecture, and migration strategies.
• Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering.
• Masters degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
• Experience implementing multi-cloud architectures and leading end-to-end platform development.
• Background in designing and developing scalable AI/ML or Data platforms.
• Experience with automation and workflow orchestration for operational efficiency.
• Published contributions to open-source or industry-recognized projects.
• Hands-on experience building AI agents and MCP servers or integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling.
• Experience enhancing AI-powered coding ecosystems with enterprise-specific tooling to improve developer productivity and platform engineering workflows.

Responsibilities:

• Provide technical leadership and guidance to the cloud engineering team.
• Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
• Drive adoption of modern Developer Experience (DevEx) practices and evolve CI/CD and developer tooling.
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Establish measurable validation standards, including secure coding, peer review, automated testing, and promotion of reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Align platform strategy and roadmaps with business priorities and lead cross-functional modernization initiatives.
• Evaluate, integrate, and govern strategic tooling to improve developer experience.
• Collaborate with development teams to identify and eliminate platform bottlenecks.
• Define and promote paved paths and self-service workflows for developers.
• Implement real-time telemetry pipelines and workflows for platform observability and analytics.
• Champion adoption of productivity tools through documentation, training, and engagement with the developer community.
• Standardize use of AI-assisted coding tools and AI-powered development ecosystems.
• Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• BitBucket
• CI/CD
• Cloud
• Datadog
• DevSecOps
• Docker
• GCP
• GitHub
• Golang
• Grafana
• Support
• Jenkins
• Kubernetes
• LLM
• Machine Learning
• Marketing
• MCP
• Prometheus
• Python
• Security
• Splunk
• Terraform

More:

We are a global financial leader and a global leader in financial services, providing strategic advice and products to some of the worlds most prominent corporations, governments, wealthy individuals, and institutional investors. In our Corporate AI and Machine Learning Data Platforms team, we build advanced cloud platforms that support our data and analytics strategy and enable responsible innovation across the firm. We value innovation, continuous learning, diversity, and inclusion, and we offer opportunities to collaborate with top talent in a dynamic environment. This is a full-time role, and our Corporate Functions team spans areas including finance and risk, human resources, and marketing. We are committed to equal opportunity, long-term client partnerships, and supporting employees through reasonable accommodations where needed.

last updated 35 week of 2026