Senior Cloud Platform Engineer - Python/Go Lead

Next Frontier Capital

Glasgow

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

J.P. Morgan in the United Kingdom (Glasgow area) seeks a senior cloud engineering leader to shape secure, scalable cloud platforms powering data-driven decision making. You will collaborate with top talent to deliver modern cloud solutions and drive AI-enabled tooling across multi-cloud environments.

You will lead architecture, CI/CD evolution, observability, and platform modernization while advancing DevEx practices and developer productivity.

Qualifications

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.).
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.

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.
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.