Lead Software Engineer - Infrastructure Platforms

JOB DESCRIPTION

Join us as we launch a new Technology Line of Business into Dublin, where you'll help build and operate the infrastructure platforms that power JPMorganChase. You'll work hands-on with a small, senior team, leveraging AI-native practices to accelerate development and reduce operational toil. This is your opportunity to own production systems, write impactful code, and create scalable patterns across the firm. If you're ready to tackle greenfield challenges and advance your career alongside expert peers, this is the place for you.

As a Senior Engineer in Infrastructure Platforms at JPMorgan Chase within the Infrastructure Platforms team, you will design, build, and operate enterprise-scale infrastructure platforms as a key member of our Dublin team. You'll be hands-on and technically deep, writing production code and solving complex problems with full accountability for reliability, performance, security, and cost. You'll work AI-native across the software development lifecycle, matched to a platform domain that fits your background, and help establish the engineering culture of our new hub.

You'll have the opportunity to join one of several high-impact teams, each focused on building critical capabilities for the firm. Whether you're engineering self-service agentic development environments, shaping a database-wide control plane, creating an enterprise data lake, automating end-to-end workflows, enhancing the discoverability of infrastructure assets, or advancing automation platforms, your work will drive innovation and scale across JPMorganChase. You'll collaborate with talented peers, tackle complex technical challenges, and help define the future of our infrastructure platforms.

Job Responsibilities:

Design, build, and operate enterprise-scale infrastructure services end-to-end, from specification through production

Write and review high-quality production code, owning system reliability, performance, security, and cost

Solve complex problems live in production, establishing end-to-end ownership and expert understanding of your services

Work AI-native across the SDLC, using AI-assisted development, code review, test generation, and incident analysis while maintaining validation standards

Share an on-call rotation with your team and act as an escalation point for production incidents, building operability and observability from the start

Analyze and optimize code and systems for quality, scalability, efficiency, and performance

Decompose ambiguous problems into clear, executable work for yourself and AI agents, integrating results into production-ready systems

Define success criteria for your work and measure its impact

Collaborate with teammates and stakeholders, contribute to technical decisions, and proactively raise risks

Apply security and operational-risk judgment throughout the engineering lifecycle

Required Qualifications, Capabilities, and Skills:

Solid production coding experience in an industry-standard language (e.g., Python, Go, Java, C++, Rust)

Experience with *nix (Linux or UNIX-like OS) and networking fundamentals

Hands-on experience building or operating systems in at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure)

Experience configuring and running infrastructure-level systems and tooling (Kubernetes, Terraform, CI/CD, databases)

Strong systems thinking, understanding interfaces, contracts, failure modes, and interactions at scale

Fluency using AI tools for engineering work, with sound judgment on AI applicability versus human expertise

Security-first mindset, integrating risk judgment from specification through production

Clear, direct communication with teammates, stakeholders, and peers

Outcome orientation, focused on impact, reliability, and cost

Comfort operating with ambiguity and greenfield scope

Preferred Qualifications, Capabilities, and Skills:

Experience across multiple infrastructure domains or programming languages

Experience running services at scale, including on-call ownership, incident response, and capacity planning

Track record of reducing operational toil through automation and improved engineering

Demonstrated ongoing AI skill development (context/prompt engineering, agent orchestration) and use of AI tools to redesign workflows for measurable impact

Prior experience in regulated or large-scale enterprise environments

Experience with greenfield engineering projects

Track record of solving complex technical problems independently

Why Join Us?

You'll do frontier infrastructure engineering alongside a small, senior team, owning real systems the firm depends on. You'll work AI-native from the start, on greenfield problems, in a brand-new Dublin hub. We progress people based on the quality of their decisions and the impact of their work. Join a team where building takes precedence over maintenance, deep technical craft is valued, and your work scales across the firm.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

ABOUT THE TEAM

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.