Are you passionate about building resilient, scalable systems that power the future of AI? At JPMorganChase, we're pushing the boundaries of what's possible with artificial intelligence and machine learning — and we need engineers like you to help us do it reliably, securely, and at scale.
As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities — with operational excellence at the core.
Responsibilities:
- Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demands.
- Own NFRs and develop tooling for observability, security, resilience, infrastructure management and operations excellence.
- Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and apps.
- Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
- Participates in on-call rotations and escalation workflows, Debug and solve issues in a production environment, take full ownership of problems, develop solutions.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced proficiency in programming with Python.
- Proficiency in all aspects of the Software Development Life Cycle.
- Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.
- Experience in designing and developing large-scale distributed systems and cloud-native architecture.
- Experience building large scale infrastructure and and cloud-native delivery practice in Google Cloud, AWS, or Azure and Terraform.
- Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
- Systematic problem-solving and troubleshooting skills in a complex system.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred qualifications, capabilities, and skills
- Prior experience working in AI Cloud Infrastructure.
- Prior experience developing GenAI Apps or AI Agents.
- Previous experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup.
- Self-managed, self-motivated with strong sense of ownership, urgency, and drive
Skills Required
- Formal training or certification in software engineering concepts
- Hands-on experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in Python
- Proficiency in all aspects of the Software Development Life Cycle
- Experience with infrastructure-as-code and cloud-native delivery practices (Terraform, containers, Kubernetes, CI/CD pipelines)
- Experience designing and developing large-scale distributed systems and cloud-native architecture
- Experience building large-scale infrastructure and cloud-native delivery practices in Google Cloud, AWS, or Azure
- Extensive experience implementing advanced observability (OpenTelemetry, Dynatrace, Grafana, or cloud-native services)
- Systematic problem-solving and troubleshooting skills in complex production systems
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Prior experience working in AI Cloud Infrastructure
- Prior experience developing GenAI applications or AI agents
- Previous experience as an Infrastructure or Platform Software Engineer in a technology company or startup
- Self-managed, self-motivated with strong sense of ownership and urgency
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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