We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.
As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running.
This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.
Job responsibilities- Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
- Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
- Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
- Implements platform-level security, secrets management, and access controls to firm-wide standards
- Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
- Leads capacity, cost, and performance management for the team's compute and inference workloads
- Mentors platform and DevOps engineers and sets engineering standards through design and code review
- Champions the firm's culture of diversity, Opportunity, inclusion, and respect
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices
- Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns
- Strong CI/CD experience and a track record of building deployment and release automation
- Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)
- Practical experience with observability tooling (metrics, logging, tracing) and production incident response
- Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management)
- Strong communication skills and the ability to set standards other engineers adopt
- Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)
- Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)
- Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets)
- Experience within financial services technology
- Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidates
Skills Required
- 5+ years applied experience in software engineering
- Advanced proficiency in Python
- Advanced proficiency in infrastructure-as-code
- Deep hands-on experience with Kubernetes
- Experience with containerization (e.g., Docker)
- Experience with cloud-native deployment patterns and container orchestration
- Strong CI/CD and deployment/release automation experience
- Experience serving, scaling, and monitoring ML models or data-intensive production services (MLOps)
- Experience operating ML/LLM workloads in production (LLMOps), including inference reliability and cost/performance management
- Practical experience with observability tooling (metrics, logging, tracing) and incident response
- Practical experience implementing platform-level security and secrets management to firm standards
- Strong communication skills and ability to set engineering standards
- Industry-recognized container/Kubernetes certification (e.g., CKAD)
- Master's degree in Computer Science, Engineering, or related technical field (or equivalent applied experience)
- Site Reliability Engineering (SRE) experience (preferred)
- Experience within financial services technology (preferred)
- Familiarity with JPM-internal platform/cloud/AI infrastructure (preferred, internal candidates)
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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