JPMorganChase Logo

JPMorganChase

Software Engineer - Associate - Infrastructure Platforms

Posted 5 Hours Ago
Be an Early Applicant
Hybrid
Dublin
Mid level
Hybrid
Dublin
Mid level
Design, build, and operate enterprise-scale infrastructure platforms. Write and review production code, diagnose production issues, participate in on-call rotations, apply AI-assisted development, and improve scalability, reliability, security, and cost. Collaborate with stakeholders, decompose problems, measure impact, and contribute to platform-level technical decisions in a greenfield Dublin engineering hub.
The summary above was generated by AI

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.

About UsJ.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.
About the TeamOur 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.

JPMorganChase London, England Office

25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP

Similar Jobs

An Hour Ago
Hybrid
Mid level
Mid level
Financial Services
Design, develop, and maintain secure, scalable ServiceNow platform solutions. Build integrations (REST), scripts, custom widgets, and automation; apply CI/CD and observability practices; use enterprise AI-assisted tools responsibly; collaborate in agile teams and mentor junior developers.
Top Skills: Ci/CdCmdbEnterprise Ai-Assisted Development ToolsJavaScriptRest ApisService PortalServicenowSQL
3 Hours Ago
Easy Apply
Hybrid
Easy Apply
Entry level
Entry level
Big Data • Cloud • Software • Database
The Account Development Representative will identify potential clients, generate leads, and support the sales team in achieving sales goals. Responsibilities include managing leads in Salesforce and developing product knowledge.
Top Skills: Salesforce
5 Hours Ago
Remote or Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.
Top Skills: Agentic AiAPIsCloud ServicesConfluenceJIRALlmsMachine LearningMicroservicesModel Evaluation/MonitoringModel Training/Fine-TuningRestSoapVersion One

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account