Jobs at JPMorganChase

Software engineering interns design, develop, test, troubleshoot, and document secure software solutions. They collaborate with engineers, managers, and stakeholders, apply automation across the software development lifecycle, and use approved AI development tools with peer review, testing, and secure validation. The program includes training, mentorship, networking, and potential full-time opportunities after graduation.

Designs and implements enterprise cybersecurity architecture and controls for cloud-based applications. Assesses emerging technologies, identifies risks, recommends mitigations, validates AI-assisted security outputs, and guides business teams, vendors, and senior stakeholders. The role advances security frameworks, SDLC practices, control testing, remediation quality, and operational resiliency while serving as a cybersecurity subject matter expert and mentoring junior professionals.

Develop, test, deploy, and maintain cloud security software and tooling for AWS public cloud environments. Build governance, protection, auditing, monitoring, remediation, and reporting solutions; automate security controls; scale services; conduct design and code reviews; and manage project deliverables. Collaborate across business functions, apply infrastructure as code and CI/CD practices, and responsibly validate enterprise-authorized AI-assisted security analysis and code recommendations.

Lead secure software engineering efforts by designing enterprise security solutions, developing and reviewing production code, conducting threat modeling and vulnerability and penetration testing, and improving security controls. The role uses authorized AI to accelerate security analysis and documentation while validating outputs, protecting sensitive data, and maintaining auditability. It also partners with stakeholders to address vulnerabilities and strengthen resiliency throughout the SDLC.

Lead the architecture and delivery of scalable, secure cloud-native platforms across public clouds. Define reference architectures, engineering standards, governance controls, observability practices, and reusable developer-platform capabilities. Drive responsible adoption of generative and agentic AI in engineering workflows, including validation, auditability, security, and data protection guardrails. Partner with architecture, engineering, product, security, risk, and business teams while mentoring technical talent and setting enterprise architecture direction.

Lead technology and cyber risk compliance for global banking technology. Advise on regulations (DORA, EU AI Act, NIS2), perform impact/gap assessments, review incidents, guide cloud and AI adoption, apply data analytics, and partner with stakeholders to embed controls and ensure operational resilience.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Lead a small senior team designing, building, and operating enterprise-scale infrastructure platforms. Own architecture through production, write and review production code, run on-call rotations, establish AI-native engineering practices, ensure security and reliability, decompose ambiguous problems, measure outcomes, and collaborate with stakeholders to drive scalable, cost-effective infrastructure solutions.

Analyze and optimize Merchant Services processes, recommend automation, strengthen controls, and support risk assessments, audits, remediation, and issue governance. Maintain process maps, documentation, scorecards, and stakeholder routines while validating corrective actions and reducing quality errors. Partner with business and Control Management leaders to improve onboarding and servicing models, enhance reporting, and present executive-ready recommendations using data discipline, root-cause analysis, Lean Six Sigma, and systems-thinking approaches.

Lead creation of an AI-first engineering capability for database products: design reusable frameworks, ensure secure production code, guide AI-enabled delivery, set governance and guardrails, influence senior stakeholders, and mentor engineers to scale cross-product adoption.

Manage location governance meetings, support operational risk assessments, strengthen control frameworks, drive process improvements and automation, provide project management for control initiatives, and analyze the business risk and control environment to enhance resiliency.

Leads enterprise product security across Google Cloud, AWS, AI applications, and software development. Designs security solutions, develops threat-modeling frameworks, conducts code reviews and vulnerability testing, integrates secure practices into the SDLC, and creates security policies. Triages threats, assesses risks, manages corrective actions, communicates findings to technical and executive stakeholders, and validates AI-assisted security recommendations for security, resiliency, data protection, and auditability.

Lead Infrastructure Engineer designs, implements, and modernizes infrastructure for performance, resiliency, and security. Responsibilities include cloud and on-prem migrations, Kubernetes and cloud-native app administration, data streaming (Kafka/Event Grid/Service Bus), scripting and CI/CD automation, AI-assisted infrastructure analysis, and cross-functional collaboration to deliver traceable, auditable infrastructure changes.

Design, develop, and maintain secure, scalable production services. Produce architecture artifacts, implement REST APIs, operate services on AWS with containers and CI/CD, use AI-assisted dev tools responsibly, analyze data for system improvements, and ensure application resiliency and security.

Lead design and implementation of secure data management in public cloud. Perform risk-based assessments for Data & AI/ML services, review infrastructure-as-code, advise engineering teams on controls, integrate with security operations, and mentor junior staff to maintain robust cloud security.

Lead design and implement reliability, scalability, and observability for cloud and data platforms. Build IaC, CI/CD pipelines, use monitoring and SLO-driven improvements, apply enterprise AI for incident triage and reliability insights, and collaborate across teams to reduce toil and improve operational outcomes.

Lead enterprise architecture for Digital Workflows, managing multiple teams and cross-product initiatives. Drive ServiceNow adoption, provide strategic direction, interface with senior stakeholders, and deliver firmwide architecture objectives while championing inclusion.

Design, develop, and maintain scalable ELT data pipelines on Databricks/Palmos using Python, Spark/PySpark and SQL. Onboard enterprise datasets, apply CI/CD and testing, implement data governance and security, optimize performance, and support analytics and AI/ML use cases while leveraging enterprise AI-assisted development tools.

Lead and mentor SRE practices to design, implement, and operate reliable cloud and data platforms. Build IaC, CI/CD, observability, and containerized deployments; use enterprise AI to accelerate incident triage and reliability improvements while ensuring compliance and data sensitivity controls.

Lead multiple complex infrastructure programs end-to-end, establish portfolio governance, manage risks, dependencies, budgets and resources, align cross-functional teams, track progress and reporting, improve delivery practices, mentor program managers, and validate AI-assisted planning while ensuring data sensitivity and compliance.