Lead Software Engineer - Infrastructure Platforms

JPMorgan Chase · Dublin

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.

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Drive enterprise-scale infrastructure engineering, owning real systems and shaping team culture.

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