Find Deployment engineer manager, gtech Jobs in Dublin, D

Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Controls Engineer, Controls Engineer
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
7d
Front-End Lead Developer
Accenture —Dublin, County Dublin
- Full-time
- JavaScript
- Agile
- HTML
- Gym membership
Staff/Lead Front-end Engineer
Mimica —Dublin, County Dublin
- Full-time
- Remote
- System design
- English
- Master's degree
- Annual leave
- Work from home
5d
Network Cabling Quality Technician
Amazon Data Services Ireland Limited - A65 —Dublin, County Dublin
- Full-time
- AWS
- Communication skills
Sr. Mechanical Engineer (CFD), Global Engineering Strategy
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- CAD
- Engineering
DCEO Chief Engineer , DCEO
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Windows
Software Development Engineer, AWS Incident Tooling & Response
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Engineering
- AWS
Senior Software Engineer / Web Developer (AEM)
PlayStation Global —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
AI Adoption Manager/Lead
Kingspan Data Solutions —DUBLIN 10, County Dublin
- Full-time
- AI
Quick apply
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Network Dev Engineer II, AWS Border Network
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
EMEA Cabling Quality Mgr, Global Cabling Quality
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Electrical Engineering
HV/MV Electrical Design Engineer, HV/ MV Design Engineering EMEA
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Forward Deployed Software Engineer - Dublin
OpenAI —Dublin, County Dublin
- Full-time
- Relocation assistance
Software Engineer (AEM)
PlayStation Global —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Quick apply
Scheduling Manager
AECOM —Dublin, County Dublin
- Full-time
Commissioning Specialist, Colo Regional Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Project management
- Bachelor's degree
AWS Engineer
Mars Capital —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
Quick apply
3h
Senior Civil Engineer , Data Centre Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- Engineering
- Microsoft Office

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Lead Software Engineer - AWS

JPMorganChase -
DUBLIN 2, County Dublin

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Job details

Full-time

Qualifications

Data modelling
Oracle
Data lake
Big data
Spark
NoSQL
Git
Java
SQL
AWS
Analysis skills
Scala
Terraform
Human resources
GitHub
S3
Apache
Kafka
DynamoDB
Maven
AI
Jenkins
Spring framework
Analytics
SDLC

Full job description

JOB DESCRIPTION

Job summary:

As a Manager of Software Engineer at JPMorgan Chase within our Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities :

Manage data integration and data analysis of disparate systems
Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
Drives 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
Applies 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
Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily

Required qualifications, capabilities, and skills:

Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics
Experience in managing team of at least 5-10 engineers.
Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
Hands-on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands-on experience building streaming applications using Kafka
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
Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
Experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
Good knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger Setup
Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
Strong technical understanding in building scalable, high performance distributed services/systems
Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
Possesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiences
Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment

Preferred qualifications:

Experience in Databricks,
Experience in Human Resources analytics

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

deployment engineer manager, gtech jobs in dublin, d

Lead Software Engineer - AWS

Controls Engineer, Controls Engineer

Front-End Lead Developer

Staff/Lead Front-end Engineer

Network Cabling Quality Technician

Sr. Mechanical Engineer (CFD), Global Engineering Strategy

DCEO Chief Engineer , DCEO

Software Development Engineer, AWS Incident Tooling & Response

Senior Software Engineer / Web Developer (AEM)

AI Adoption Manager/Lead

Senior Product Manager, AI / ML Solutions

Network Dev Engineer II, AWS Border Network

EMEA Cabling Quality Mgr, Global Cabling Quality

HV/MV Electrical Design Engineer, HV/ MV Design Engineering EMEA

Forward Deployed Software Engineer - Dublin

Software Engineer (AEM)

Scheduling Manager

Commissioning Specialist, Colo Regional Engineering

AWS Engineer

Senior Civil Engineer , Data Centre Design Engineering

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