Lead design and delivery of secure, scalable cloud platform tooling and DevEx practices to support AI/ML and data platforms. Drive CI/CD, observability, cloud security, AI-assisted engineering adoption, paved paths, telemetry, and cross-team modernization while mentoring engineers and governing AI-assisted workflows.
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.
As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. You’ll collaborate with others to harness the power of artificial intelligence and machine learning, creating new opportunities and driving business success. You will have the chance to lead, grow, and make a difference in a dynamic, inclusive environment.
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.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies 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.
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.).
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) 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/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.
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.
About UsJ.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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
Similar Jobs
Fintech • Software • Financial Services
Supports global investment clients by resolving investment and accounting inquiries, coordinating with internal teams, and delivering accurate responses. Reconciles portfolio data from external sources against Clearwater’s web-based system and provides timely daily status updates. The role requires strong communication, organization, problem-solving, computer, and analytical skills, along with a finance-related or analytical bachelor’s degree and enthusiasm for continuous learning.
Top Skills:
MS Office
Financial Services
Leads hands-on development of backend systems for a source code intelligence platform. Responsibilities include building distributed indexing and search infrastructure, semantic and AST analysis, AI-agent interfaces, vulnerability discovery capabilities, and SDLC automation. The role sets technical direction, mentors engineers, evaluates AI technologies such as Claude, collaborates cross-functionally, and improves engineering processes and software quality.
Top Skills:
Abstract Syntax Trees (Ast)Artificial IntelligenceClaude AiCloud PlatformsData StreamingDevOpsDistributed SystemsIndexing InfrastructureJavaMicroservicesPythonReal-Time Data ProcessingSearch InfrastructureSemantic Analysis
Financial Services
Develop and maintain secure, scalable Java applications within an agile financial technology team. Responsibilities include software design, coding, troubleshooting, architecture documentation, data analysis, testing, operational stability, and secure use of AI-assisted development tools. The role requires expertise in Java, Spring, Spring Boot, REST services, Unix/Linux, system design, CI/CD, resiliency, and security practices, with preferred experience in cloud, observability, Kafka, microservices, containers, and front-end technologies.
Top Skills:
Apache KafkaContainerizationContinuous Integration/Continuous Delivery (Ci/Cd)GrafanaJavaMicroservicesRestSplunkSpringSpring BootUnix/Linux
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
