Find Data science_ ml Jobs in Dublin, D

Software Dev Engineer, AWS Database Migration Service
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- AWS
4d
Software Engineer - ML Platform
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
9d
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
10d
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Azure
- Computer Science
- Customer service
5d
Director Ideation & Growth, Optum Payment Integrity, Operations
Optum —Dublin, County Dublin
- Full-time
- Bachelor's degree
- Continuous improvement
- No degree
10d
AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
- Full-time
- Analysis skills
- Bachelor's degree
- Organisational skills
6d
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
9d
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
12d
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
12d
Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
11d
Director, AI & Digital Quality
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Management
- IT
- AI
12d
Global Quality Program Manager, Law Enforcement Operations - Trust and Safety
TikTok —Dublin, County Dublin
- Computer Science
- Engineering
- SQL
3d
Product Technology Manager, Shopping Partner Engineering and APIs
Google —Dublin, County Dublin
- €90,000–€92,500 a year
- Full-time
- Computer Science
- Engineering
- Java
11d
Director, AI & Digital Quality
AstraZeneca —Dublin, County Dublin
- Management
- IT
- AI
12d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
7d
Network Dev Engineer II, ONE Access Engineering (LAN)
Amazon Ireland Support Services Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AWS
11d
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
9d
Finance Operations Lead
Meta —Dublin, County Dublin
- Master's degree
- AI
- Analytics
3d
Director, Product
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Product management
6d

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Software Dev Engineer, AWS Database Migration Service

Amazon Development Centre Ireland Limited -
Dublin, County Dublin

Apply Now

Job details

Full-time
4 days ago

Qualifications

Oracle
Computer Science
Microsoft SQL Server
AWS
Bachelor's degree
PostgreSQL
Software development
Cloud computing
SDLC

Full job description

DESCRIPTION

Database Migration for Amazon RDS is fully managed, serverless capability that enables customers to migrate SQL Server/Oracle workloads - whether running on Amazon RDS, Amazon EC2, on-premises infrastructure, or other cloud providers - to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. Customers simply provide source and target connection details, and the service orchestrates the entire migration lifecycle end-to-end: pre-migration assessment, schema conversion, data movement.
In addition to a traditional console-driven experience, the service introduces an agentic migration workflow. Customers can initiate and manage migrations through natural language within the developer tools they already use - such as Kiro, Claude Code, Cursor, or Codex. The AI agent assesses the source environment, converts the schema, moves the data, validates the outcome - removing friction and reducing the expertise required to complete complex database migrations.

Key job responsibilities
As a member of this team, you will:

- Design and implement scalable, serverless microservices that power the migration lifecycle - assessment, schema conversion, data movement;

Build agentic workflows that integrate with developer tools (Kiro, Claude Code, Cursor, Codex) and enable natural language-driven database migrations;
Own operational excellence for your components: define SLAs, build dashboards, create runbooks, and drive root-cause analysis during incidents;
Contribute to system architecture decisions, write design documents, and participate in code reviews that raise the quality bar for the team;
Collaborate cross-functionally with solution architects, product managers, and partner teams (RDS, Aurora, AI/ML) to deliver customer-facing features;
Mentor SDE Is through code reviews, design guidance, and pair programming;
Participate in on-call rotations and operational excellence initiatives.

A day in the life
You might start the day with participating in a design review for a new feature: parallel data movement for multi-terabyte databases. You whiteboard trade-offs between consistency guarantees and throughput, debating how to minimize downtime during cutover windows. Later, you pair with a teammate to debug a race condition in the serverless orchestration layer that surfaces only under high concurrency.

About the team
You'll join a team of curious, driven engineers who believe that technical excellence and world-class reliability are not aspirations - they are the baseline our customers deserve. If you want to build something that matters, alongside people who challenge and inspire you, this is the place.

This is a rare opportunity to design and operate systems at true cloud scale while developing deep expertise across three of the most transformative domains in modern engineering: cloud computing, database technologies, and artificial intelligence.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

Experience (non-internship) in professional software development
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

Bachelor's degree in computer science or equivalent
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

Refine Your Search

data science_ ml jobs in dublin, d

Software Dev Engineer, AWS Database Migration Service

Software Engineer - ML Platform

Senior Data Engineer

Director of Software Engineering - Workplace Technology

Business Support Engineer

Director Ideation & Growth, Optum Payment Integrity, Operations

AI Portfolio Analyst

Software Developer, Scaled Ops AI Acceleration Team

Principal Data Product Engineer — Data Ontology & Metadata

Principal Data Product Engineer — Data Ontology & Metadata

Specialist, Product Management - AI

Director, AI & Digital Quality

Global Quality Program Manager, Law Enforcement Operations - Trust and Safety

Product Technology Manager, Shopping Partner Engineering and APIs

Director, AI & Digital Quality

Staff Machine Learning Engineer

Network Dev Engineer II, ONE Access Engineering (LAN)

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Finance Operations Lead

Director, Product

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