Find Software engineer ml platform Jobs in Greystones, Ww

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Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion

Amazon Development Centre Ireland Limited -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Oracle
Computer Science
Internet of things
DB2
C#
Microsoft SQL Server
Java
OOP
AWS
C++
Bachelor's degree
PostgreSQL
Distributed systems
Software development
Sybase
Cloud computing
S3
SDLC

Full job description

DESCRIPTION

If you are looking for an opportunity to build innovative cloud-native solutions, work with AI/ML technologies, and make a direct impact on customers migrating to AWS, this might be the role for you.
Our team is responsible for the development of DMS Schema Conversion — the cloud-based service within AWS Database Migration Service that automatically assesses and converts database schemas, stored procedures, functions, triggers, and other database objects from commercial databases (Oracle, SQL Server, DB2, Sybase) to AWS-native targets such as Amazon RDS for PostgreSQL, Amazon Aurora.
DMS Schema Conversion is an instrument for automatic conversion of database metadata to a format compatible with the target database or service located in the AWS cloud. We are actively integrating Generative AI capabilities to automate time-intensive conversion tasks, reducing manual effort for customers and accelerating their migration journey.
As a Software Development Engineer on our team, you will tackle challenging distributed systems problems, design and build features that serve customers at scale across 29+ AWS regions, and contribute to the next generation of AI-powered migration tooling.

AWS DMS team is a part of AWS Utility Computing (UC) which provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Key job responsibilities

Design, develop, and maintain cloud-based solutions that accelerate database migrations to AWS
Build and enhance schema conversion engines that transform database objects, stored procedures, and application code across multiple source/target conversion pairs
Integrate Generative AI capabilities to automate complex code conversion tasks that previously required manual intervention
Architect and implement scalable microservices deployed across 29+ AWS regions
Collaborate closely with database engineers, front-end engineers, and product managers to deliver high-quality features
Analyze existing database architectures to determine optimal migration and conversion strategies
Mentor other engineers, conduct design reviews, and contribute to engineering best practices
Research and identify new opportunities for AWS to innovate on behalf of our customers
Participate in on-call rotations and operational excellence initiatives

A day in the life
You will design, develop, and deliver features that enable customers to seamlessly migrate their database workloads to AWS.
You will drive architectural decisions, solve complex problems with innovative approaches, and deliver with limited guidance while raising the technical bar for the entire team.
You will work on complex challenges driving architectural decisions, code transformation, distributed systems, and Generative AI integration — all while operating at AWS scale.

About the team
Our team is a passionate, highly-motivated group of specialists across a variety of technologies working in a fast-paced environment.
This is an opportunity to design and operate systems at scale, and gain first-class experience in the field of cloud computing, database technologies, and applied AI/ML. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world-class service is critical to customer success.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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 modern language such as Java, C++, or C# including object-oriented design

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

software engineer ml platform jobs in greystones, ww

Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion

Founding Backend Engineer (Java)

Founding Full-Stack (Flutter and Java) Engineer

Safety Engineer

Principal Full Stack Software Engineer – eCommerce Platforms

Software Engineering Manager

Staff/Lead Fullstack Engineer (Frontend-focused)

Forward Deployed Engineer II, GCC (French, German)

Developer Advocate (Remote)

Senior Software Engineer, Cloud Security

Biological Structures Data Engineer I/II

Sr. SDE, Amazon Email Services

Staff/Lead Front-end Engineer

Staff Machine Learning Engineer

AI Architect (R-18541)

Senior Core Technologies Engineer

Software Development Manager, Network Monitoring and Remediation

Senior Forward Deployed Engineer

Senior ML Science Manager

Staff Customer Engineer – Automotive AI

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