Software Engineering Lead - Infrastructure Platforms

Join us as we launch a new engineering hub in Dublin, where you’ll shape the future of enterprise infrastructure. Here, you’ll lead a small, high-impact team and set the technical culture from the ground up. We work AI-native from day one, empowering you to focus on solving complex problems and driving innovation. Your leadership will influence engineering practices across the firm. If you’re passionate about building and want your work to scale, this is your opportunity. As a Technical Lead in Infrastructure Platforms at JPMorgan Chase within our Dublin engineering hub, you will lead a small, senior team designing, building, and operating enterprise-scale infrastructure platforms. You will be a hands-on technical leader, owning production systems end-to-end, setting architecture and engineering standards, and fostering the growth of your team. You’ll work AI-native across the software development lifecycle, ensuring correctness, security, reliability, and cost-effectiveness. You’ll be matched to a platform domain that fits your expertise and help establish our engineering culture. 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: Lead and grow a small team of senior engineers, fostering a high-performance, high-ownership culture Own the design, delivery, and operation of enterprise-scale infrastructure services from architecture through production Write and review production code, maintaining a hands-on approach and setting the bar for engineering quality Establish AI-native engineering practices with robust validation standards to ensure speed never compromises correctness Participate in an on-call rotation and act as an escalation point for production incidents, building operability and observability from the start Analyze and optimize systems for scalability, efficiency, reliability, and performance Decompose ambiguous problems into clear, executable work for both engineers and AI agents Define success criteria, measure impact, and hold the team accountable to outcomes Partner with stakeholders across the infrastructure organization, resolving technical disagreements and proactively raising risks Apply security and operational-risk judgment throughout the engineering lifecycle Required Qualifications, Capabilities, and Skills: Hands-on software engineering background with production coding experience in an industry-standard language (e.g., Python, Go, Java, C++, Rust) Deep experience building and operating systems in at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure) Experience running production systems at scale, including on-call ownership, incident response, and designing for reliability and operability Experience leading or mentoring engineers and setting technical direction Strong systems thinking, including interfaces, contracts, failure modes, and interactions at scale Ability to direct AI tools for real engineering work, with sound judgment on where AI applies and where human expertise is required Security-first mindset, integrating risk judgment from design through production Clear, direct communication with engineers, stakeholders, and peers Outcome orientation, focused on impact, reliability, and cost Comfort operating with ambiguity and greenfield scope Inclusive, collaborative leadership style, able to attract, grow, and retain strong senior engineers Preferred Qualifications, Capabilities, and Skills: Experience across multiple infrastructure domains or programming languages Track record of reducing operational toil and cost through automation and better engineering Experience adopting AI-native engineering practices at team or organizational scale Prior experience in regulated or large-scale enterprise environments Experience with greenfield builds and establishing engineering culture Ability to influence engineering patterns beyond the immediate team Why Join Us? You’ll build a frontier engineering team from scratch, delivering outsized impact with a small, senior group. The patterns you set in Dublin—how AI-native teams design, build, and operate at enterprise scale—will influence engineering practices across the firm. We progress people based on the quality of their engineering and the impact of their decisions, not span of control. Join a team where building takes precedence over maintenance, and where your work scales across the firm.