Software Engineer - Associate - Infrastructure Platforms

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.

Join us as we launch a new Technology Line of Business in Dublin, where you’ll help shape the infrastructure platforms powering JPMorganChase. You’ll work alongside senior engineers on real production systems, using AI-native practices to accelerate delivery and grow your technical craft. This is your opportunity to write meaningful code from day one, develop deep skills, and be part of establishing a new engineering hub. We value your impact, encourage career growth, and offer a collaborative environment where your work drives innovation.

As a Software Engineer III in the Infrastructure Platforms team, you will design, build, and operate enterprise-scale platforms as a key member of our Dublin hub. You’ll be hands-on, writing production code and solving complex problems with a focus on reliability, performance, security, and cost. You’ll work AI-native across the software development lifecycle, matched to a platform domain that fits your background. In this role, you will help shape our engineering culture and drive innovation across the firm.

Job Responsibilities:

• Design, build, and operate features and services within enterprise-scale infrastructure platforms, contributing across the SDLC from specification through production
• Write and review high-quality production code, factoring reliability, performance, security, and cost into your engineering decisions
• Diagnose and resolve production problems alongside senior engineers, building end-to-end understanding of the services you work on
• Work AI-native across the SDLC, using AI-assisted development, code review, test generation, and incident triage while maintaining validation standards
• Share an on-call rotation with your team, respond effectively to production incidents, and build operability and observability into what you ship
• Analyze and improve code and systems for quality, scalability, efficiency, and performance
• Decompose scoped 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 and questions
• Apply security and operational-risk judgment in your engineering work

Required Qualifications, Capabilities, and Skills:

• Applied experience producing production code in an industry-standard language (e.g., Python, Go, Java, C++, Rust)
• Working knowledge of *nix (Linux or UNIX-like OS) and networking fundamentals
• Hands-on exposure to at least one infrastructure domain (cloud, networking, compute, storage, security, or data infrastructure), or clear appetite to specialize
• Working experience with infrastructure-level systems and tooling (Kubernetes, Terraform, CI/CD, databases)
• Developing systems thinking — awareness of interfaces, contracts, and common failure modes
• Fluency using AI tools for engineering work, with judgment on where AI applies versus where deep human expertise is required
• Security-first mindset when writing and shipping code
• Clear, direct communication with teammates, stakeholders, and peers
• Outcome orientation, focused on impact, reliability, and cost
• Comfort operating with defined scope in a greenfield context, and willingness to work through ambiguity with guidance

Preferred Qualifications, Capabilities, and Skills:

• Exposure to multiple infrastructure domains or programming languages
• Experience contributing to services at scale, including on-call participation and incident response
• Examples of reducing operational toil through automation and better engineering
• Demonstrated ongoing AI skill development (context/prompt engineering, agent orchestration) and use of AI tools to accelerate delivery
• Prior experience in regulated or large-scale enterprise environments
• Interest in greenfield engineering projects
• Ability to solve well-scoped technical problems independently

Why Join Us?
You’ll write real code on infrastructure the firm depends on, alongside senior engineers who’ll help you grow. 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 — a Software Engineer III seat here is a launchpad, not a holding pattern. Join a team where building takes precedence over maintenance, deep technical craft is valued, and your work scales across the firm.