Jobs at JPMorganChase

Leads software engineering and site reliability efforts, delivering secure, scalable production systems. Responsibilities include system design, coding, testing, troubleshooting, automation of recurring remediation, operational stability, vendor architecture evaluations, and adoption of AI-assisted engineering practices with strong validation, security, and responsible-use standards.

Leads enterprise infrastructure architecture strategy across on-premises compute, virtualization, containers, networking, security, AI infrastructure, and sovereign environments. Establishes architecture standards, governance frameworks, reference designs, infrastructure-as-code practices, and technology guardrails. Advises senior leadership, conducts design and risk reviews, drives cross-organizational alignment, and guides modernization across large-scale platforms.

Generates new treasury management business, expands existing client relationships, and delivers consultative financial solutions. Develops localized market and product strategies, partners with bankers and product teams, leads client business process reviews, and provides thought leadership on working capital solutions. Manages non-credit risk and relationship profitability while meeting sales goals and positioning complex treasury products.

Leads product portfolio operations and cross-functional transformation initiatives. The role coordinates portfolio reporting, communications, dependencies, stakeholder readiness, process improvements, policy changes, risk management, benefits realization, and AI adoption. It requires influencing senior stakeholders, managing multiple priorities, driving scalable operational improvements, and fostering innovation, accountability, and employee growth.

Lead an agile engineering team to design, build, and operate secure, scalable 24x7 enterprise data platform services. Provide technical guidance, produce high-quality production code, drive product and design decisions, and advocate firmwide engineering practices and modern technologies.

Designs, develops, and troubleshoots secure, scalable ML software systems and services. Builds production code, architecture artifacts, APIs, and distributed microservices; analyzes data to improve applications and system architecture. Uses AI-assisted development tools responsibly, validates generated outputs, and guides peers on secure engineering practices. Requires Python and ML framework expertise, cloud-native technologies, public cloud experience, distributed systems knowledge, and Cassandra or equivalent NoSQL experience. Preferred experience includes GPU workloads, model serving, distributed inference, model compression, and edge deployment.

Leads infrastructure engineering teams responsible for network risk identification, remediation, audit readiness, operational controls, and resilient on-premises and cloud environments. Oversees execution, stakeholder management, leadership reporting, runbooks, KRIs/KPIs, and compliance. Partners with Cyber, Technology, and Operations teams while guiding safe adoption of enterprise-authorized AI for infrastructure workflows. Requires network and infrastructure expertise, automation skills, cloud and hybrid environment experience, risk and controls familiarity, and team leadership.

Designs, develops, and troubleshoots secure, scalable ML systems and services. Builds production software in Python using ML frameworks, cloud-native technologies, distributed systems, microservices, and NoSQL databases. Creates architecture artifacts, analyzes large datasets, improves system reliability and performance, and uses AI-assisted development tools responsibly. Preferred experience includes GPU workloads in Kubernetes, model-serving frameworks, distributed inference, model compression, and edge deployment.

Provide 24/7 cybersecurity incident management and response support within a global command center and security operations center. Execute incident playbooks, coordinate cross-functional stakeholders, communicate with senior management, document events, and support mitigation and remediation. Analyze operational metrics, improve processes, contribute to research and internal tools, and help maintain infrastructure stability and resiliency during high-pressure security incidents.

Leads infrastructure platform engineering within an agile team, delivering secure, scalable production software. Provides technical direction, reviews code, drives software development lifecycle governance, and promotes responsible AI-assisted engineering practices. Designs and troubleshoots systems independently while serving as a technical subject matter expert. The role emphasizes cloud-native infrastructure, automation, operational stability, and collaboration with technical teams, contractors, and vendors.

Leads the design, development, and delivery of software-defined networking, network automation, and infrastructure management solutions across multi-cloud environments. Builds APIs, automation frameworks, infrastructure-as-code, and CI/CD pipelines while ensuring reliability, security, scalability, and operational stability. Drives responsible AI-assisted engineering practices, collaborates with cross-functional teams, troubleshoots distributed network systems, evaluates emerging technologies, and mentors engineers.

Lead the design, development, and operation of an enterprise GenAI serving platform. Build high-throughput LLM inference, gateway, routing, GPU optimization, quantization, distributed serving, and observability capabilities. Establish reliability practices, SLOs, performance benchmarks, cost controls, and secure production standards. Drive adoption of agentic AI-enabled engineering workflows with governance, auditability, and human validation while influencing senior stakeholders and enabling reusable platform components across teams.

Manages and expands strategic payments relationships with eCommerce, marketplace, gig economy, technology, and other platform clients. Develops pipeline, sells tailored payments solutions, grows revenue and deposits, expands wallet share, and maintains portfolio profitability. Builds senior client relationships, prepares proposals and presentations, coordinates cross-functional delivery, develops account strategies, analyzes competitive positioning, and coaches sales associates and client managers while supporting global opportunities.

Architect and build reliable, scalable AI platform services supporting model training and inference across hybrid-cloud environments. Develop reusable APIs, SDKs, tooling, and reference architectures; establish observability, resilience, security, automation, and cost-optimization standards. Partner with engineering and product teams to deliver platform capabilities, meet reliability targets, resolve production incidents, and drive remediation. Mentor engineers and promote responsible, secure use of AI-assisted development tools.

Lead software engineering for JPMorgan Chase’s API Marketplace within an agile team. Responsibilities include designing and delivering secure production code, reviewing and debugging applications, guiding technical teams and partners, influencing technology decisions, mentoring developers, contributing to SDLC frameworks, and building cloud-native distributed applications using modern development, testing, and deployment practices.

Leads development of secure, scalable cloud infrastructure for AI and machine learning workloads. Designs and operates Kubernetes-based inference platforms, builds CI/CD and infrastructure-as-code automation, optimizes cloud performance and costs, and partners with AI teams on compute requirements. Establishes responsible AI-assisted engineering practices, governance, validation standards, and reusable SDLC automation. Provides technical guidance, reviews production code, troubleshoots systems, and promotes operational stability across teams.

Design and develop secure, resilient full-stack systems and microservices using Java or Python and AWS. Build digital asset custody components, blockchain integrations, APIs, and cloud applications across the software development lifecycle. Create architecture artifacts, troubleshoot production issues, analyze data, and improve reliability. Lead responsible adoption of AI-assisted engineering tools for coding, testing, reviews, refactoring, and incident analysis while coaching teams on secure, compliant practices.

Lead AI/ML security architecture and engineering initiatives, clarify security requirements across multiple networks, assess and triage threats, manage disruptive-event response resources, and recommend risk-based business modifications. Build enterprise security solutions through hands-on coding, threat modeling, vulnerability assessment, penetration testing, cloud-native development, and security integration into CI/CD workflows.

Designs scalable software frameworks and production systems for high-performance computing, optimizing AI/ML model training and inference across compute architectures. Leads technical design reviews, benchmarking, telemetry, secure coding, and operational improvements. Develops enterprise agentic AI engineering workflows with governance, validation, auditability, security, and resiliency guardrails. Mentors engineers and drives adoption of HPC, AI/ML, and automation practices across teams.

Lead complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Apply analytical reasoning, Agile practices, and enterprise-authorized AI capabilities to improve planning, governance, reporting, and risk synthesis. Partner with engineering, product, and business teams to align deliverables with organizational goals, validate AI-assisted outputs, and drive continuous improvement. A development or SRE background and experience leading programs are required; Generative AI development experience is preferred.