Senior Lead Software Engineer - Python / Go

Next Frontier Capital; Glasgow; On-site; GBP 90,000 - 130,000; Full time

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.

Skills

Cloud platforms

DevEx

CI/CD tooling

Golang

Python

Terraform

Docker

Kubernetes

AI-powered tooling

Observability

Education

Master’s degree in Computer Science or related field

Tools

AWS

Azure

GCP

Jenkins

Spinnaker

Bitbucket

GitHub

Terraform

Crossplane

Prometheus

Grafana

Datadog

Job description

Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorganChase, you’ll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.

Job 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.
  

Required Qualifications, Capabilities, and Skills:

• 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.

Preferred Qualifications, Capabilities, and Skills:

• Master’s 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/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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Drive innovation by building advanced cloud platforms that power data-driven decision making and enable AI transformation.ase.