Software Engineering Lead Infrastructure Platforms

Join us as we launch a new engineering hub in Dublin where youll shape the future of enterprise infrastructure. Here youll 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 youre 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. Youll work AI-native across the software development lifecycle ensuring correctness security reliability and cost-effectiveness. Youll be matched to a platform domain that fits your expertise and help establish our engineering culture.

Youll have the opportunity to join one of several high-impact teams each focused on building critical capabilities for the firm. Whether youre 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. Youll 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
Youll build a frontier engineering team from scratch delivering outsized impact with a small senior group. The patterns you set in Dublinhow AI-native teams design build and operate at enterprise scalewill 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.