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# Senior Lead Software Engineer - Python / Go

- **Company:** JPMorgan Chase & Co.
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Decision Support Systems, Programming Tools, Github, Monitoring of Systems, Python (Programming Language), Open Source Technology, Productivity Software, Prometheus, Software Engineering, Spinnaker, Systems Integration, Datadog, Data Logging, Large Language Models, Grafana, Multi-Cloud, Kubernetes, Bitbucket, Terraform, Splunk, Devsecops, Docker, Jenkins, Golang
- **Published:** August 29, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-lead-software-engineer-python-go/45322667

## About the Role

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. #J-18808-Ljbffr

## Description

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


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