Lead Software Engineer - Infrastructure Platforms

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.