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JPMorganChase

engineering opportunity

Senior Lead Software Engineer, Cloud Platform

Provide technical leadership for cloud infrastructure and platform tools while driving the adoption of modern developer experience practices. Collaborate with cross-functional teams to integrate AI-assisted coding and scalable automation into the software development lifecycle.

Palo Alto, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

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 JPMorgan Chase, 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 at JPMorgan Chase within the

Corporate Sector AI and Machine Learning Data Platforms team, you will play a

key role in designing and delivering secure, high-quality technology solutions

that support our data and analytics strategy. You’ll work with us to develop

cloud-based products, enhance productivity, and enable responsible innovation

across the firm. Together, we’ll harness the power of artificial intelligence

and machine learning to create new opportunities and drive business success.

You’ll have the chance to collaborate, lead, and grow 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 DevEx (Developer Experience) practices and evolve

CI/CD and developer tooling to improve delivery speed, quality, and

consistency.

* Align platform strategy and roadmaps with business priorities; lead

cross-functional initiatives to modernize SDLC practices.

* Evaluate, integrate, and govern strategic tooling to reduce cognitive load

and improve developer experience.

* Collaborate with development teams to identify and eliminate bottlenecks on

the platform.

* Define and promote paved paths and self-service workflows to streamline

developer workflows.

* Implement real-time telemetry pipelines and workflows for large-scale

platform observability and analytics.

* Champion adoption of tools that can improve developer productivity through

clear documentation, training, office hours, and close engagement with the

developer community.

* Standardize use of AI-assisted coding tools and AI-powered development

ecosystems to accelerate development workflows, code generation, and

engineering productivity across the organization.

* Contribute to the design and development of AI agents and Model Context

Protocol (MCP) integrations using frameworks built on top of Google ADK,

Anthropic SDKs, etc. and related tooling to enable intelligent, scalable

platform automation.

Required Qualifications, Capabilities, and Skills

* Formal training or certification on software engineering concepts and 5+

years applied experience

* 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 expertise in DevEx (Developer Experience) and CI/CD tools

(Jenkins, Spinnaker, Bitbucket, GitHub, etc.).

* Strong knowledge of cloud security best practices, shift-left methodologies,

and DevSecOps processes.

* Strong programming skills in Golang or Python, with a solid 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.

* Demonstrated proficiency with AI-assisted coding workflows, including

experience with LLM-powered development tools, spec-driven development

methodologies, and prompt engineering for software engineering use cases.

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 efforts.

* 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 standard agent

orchestration tooling.

* Experience with enhancing AI-powered coding ecosystems with enterprise

specific tooling to improve developer productivity and platform engineering

workflows.

FEDERAL DEPOSIT INSURANCE ACT:

This position is subject to Section 19 of the Federal Deposit Insurance Act. As

such, an employment offer for this position is contingent on JPMorganChase’s

review of criminal conviction history, including pretrial diversions or program

entries.

JPMorganChase, one of the oldest financial institutions, offers innovative

financial solutions to millions of consumers, small businesses and many of the

world’s most prominent corporate, institutional and government clients under the

J.P. Morgan and Chase brands. Our history spans over 200 years and today we are

a leader in investment banking, consumer and small business banking, commercial

banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined

based on the role, experience, skill set and location. Those in eligible roles

may receive commission-based pay and/or discretionary incentive compensation,

paid in the form of cash and/or forfeitable equity, awarded in recognition of

individual achievements and contributions. We also offer a range of benefits and

programs to meet employee needs, based on eligibility. These benefits include

comprehensive health care coverage, on-site health and wellness centers, a

retirement savings plan, backup childcare, tuition reimbursement, mental health

support, financial coaching and more. Additional details about total

compensation and benefits will be provided during the hiring process.

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

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

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.

Which skills does this role require?

Cloud engineeringAWSAzureGCPDockerCI/CDGolangPythonTerraformDevSecOpsAI-assisted codingPrompt engineeringObservabilityPlatform architectureCloud PlatformSoftware EngineeringArtificial IntelligenceMachine LearningInfrastructure as CodePrompt EngineeringLLMModel Context ProtocolJenkinsSpinnakerSplunkGrafanaDatadogPrometheusCrossplaneDeveloper ExperienceScalabilityGoLLMsProduct Strategy

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