Find Machine learning engineer Jobs in Kill, Ke

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Principal Security Engineer, AWS Security
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Python
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Team management
- Mentoring
PCIE SOC Application Engineer (Sr Staff)
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
4d
Applications Engineering, Manager
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
4d
ASIC Design/Verification, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills
Product Owner (Technical)
Revolut —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
6d
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
AI/ML Computational Science
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
2d
Senior Engineering Analyst
YouTube —Dublin, County Dublin
- €118,000–€121,000 a year
- Full-time
- Master's degree
- SQL
- C++
2d
Enterprise Growth Account Executive, DACH
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- Leadership
- Annual leave
1h

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Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Data modelling
System design
Java
AWS
PostgreSQL
Terraform
Agile
AI
Python
Spring framework
SDLC

Full job description

JOB DESCRIPTION

Join us to shape the future of talent management technology and make a real impact on how we work. You'll have the opportunity to push the limits of what's possible, grow your career, and collaborate with a diverse, forward-thinking team. We value creativity, inclusion, and continuous learning. At JPMorganChase, your ideas and expertise will help us deliver trusted, market-leading solutions. Be part of a team where your contributions matter and your growth is supported.

As a Lead Software Engineer in Workforce Experience Technology, you will play a key role in enhancing and delivering secure, scalable, and innovative technology products. You will work within an agile team, leveraging your technical expertise to drive impactful solutions across multiple business functions. You will help foster a culture of collaboration, inclusion, and technical excellence. Your leadership will support the adoption of advanced engineering practices and the delivery of high-quality applications. Together, we'll build technology that empowers our people and drives business success.

Job Responsibilities:

Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
Develop secure, high-quality production code, and review and debug code written by others
Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Design and develop AWS infrastructure solutions to support HR Talent Management applications and data ecosystem
Develop data models and databases for HR Talent Management
Partner with product and front-end development teams to review end-to-end requirements and solutions
Participate in infrastructure resiliency and optimization events

Required Qualifications, Capabilities, and Skills:

Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming languages (e.g., Java, Spring Boot, Terraform)
Hands-on experience deploying AWS services and developing Infrastructure as Code (IaC) solutions
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
In-depth knowledge of the financial services industry and their IT systems
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, and Skills:

Certified AWS Solution Architect
Experience with Java: Spring Boot, Lambda, Python, Terraform
Experience with CI/CD tools such as Jules and Spinnaker
Experience with GraphDB development (AWS Neptune/Gremlin)
Experience with RDMS development (PostgreSQL)
Practical cloud native experience

Why Join Us?
At JPMorganChase, you'll be part of a collaborative, innovative environment where your skills are valued and your growth is supported. We are committed to diversity, inclusion, and empowering our employees to make a difference. Join us to build technology that shapes the future of work.

ABOUT US

J.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 TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

machine learning engineer jobs in kill, ke

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Principal Security Engineer, AWS Security

Customer Engineer, SMB, Artificial Intelligence

Software Development Manager, ICON

PCIE SOC Application Engineer (Sr Staff)

Applications Engineering, Manager

ASIC Design/Verification, Architect

Product Owner (Technical)

ASIC Digital Verification Architect

Senior Software Engineer, Cash Forecasting

Data Engineer

AI/ML Computational Science

Senior Engineering Analyst

Enterprise Growth Account Executive, DACH

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