Find Full stack Jobs in Killester, D

Full Stack Software Engineer (Freelance)
Tomra —Dublin, County Dublin
- €650–€700 a day
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- Computer Science
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Quick apply
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Capventis —Dublin, County Dublin
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Software Engineer III, GCE Maintenance, Google Cloud
Google —Dublin, County Dublin
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Senior UI Developer
Citi —Dublin, County Dublin
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- Full-time
- Hybrid work
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Lead Software Engineer
JPMorganChase —DUBLIN 2, County Dublin
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Forward Deployed Engineer
Salesforce —Dublin, County Dublin
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Full-Stack Engineer (Front-End Leaning)
ElevenLabs —Dublin, County Dublin
- Full-time
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.Net Senior Software Engineer
U.S. Bank National Association —Dublin, County Dublin
- €74,460–€87,600 a year
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Developer Relations AI (100% remote)
Tether Operations Limited —Dublin, County Dublin
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Full Stack Software Engineer, Charles River Development, Officer
State Street —Dublin, County Dublin
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Software Development Engineer, The AWS In-Memory Databases Console Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Weekend availability
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Full Stack Engineer
EXL Service —Dublin, County Dublin
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Software Engineer III, Ireland
Rakuten Global —Dublin, County Dublin
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Flutter Entertainment —Dublin, County Dublin
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Analog Devices —Glasnevin, County Dublin
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Senior Full Stack Developer (Angular / .NET)
Version 1 —Dublin, County Dublin
- €60,000–€75,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- AWS
- Employee assistance program
- Employee discount
Quick apply
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
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- Java

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Full Stack Software Engineer (Freelance)

Tomra -
Dublin, County Dublin

Quick apply

Job details

Full-time
€650–€700 a day

Qualifications

CI/CD
Data modelling
Azure
Node.js
Computer Science
CSS
React
English
Master's degree
Bachelor's degree
JavaScript
PostgreSQL
GraphQL
TypeScript

Full job description

Company Description

TOMRA Food is a multinational organisation and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximise food safety and minimise food loss by making sure Every Resource Counts™, has been our strength for over 50 years.

At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.

Join the resource revolution!

Job Description

We are looking for a Full Stack Software Engineer to design, develop and maintain TOMRA's digital platforms, supporting the scalable deployment, monitoring and lifecycle management of machine-learning models used across our sensor-based sorting and analytics systems.

You will build and optimise software systems that leverage machine-generated data to enable advanced analytics, model feedback loops, and seamless integration with cloud-based services and internal data platforms. Working closely with data scientists, cloud engineers, product teams and systems engineers, you will help ensure reliable data flows, robust model operations and the successful delivery of data-driven features.

You will also contribute to cross-functional software projects that use machine-generated information to create new digital services, performance insights, and automation capabilities. Ocassional travel may be required for onsite collaboration, deployment activities, or cross-team workshops.

Key Responsibilities:

Develop and maintain software components for TOMRA’s digital platforms
Support the deployment, monitoring, and lifecycle management of machine-learning models.
Build and enhance data pipelines and services that process and distribute machine-generated information to digital products and cloud systems.
Extend and optimise existing MLOps tooling, integrations, and communication interfaces to improve performance and scalability.
Perform unit and end-to-end testing to ensure software quality, robustness, and maintainability.
Investigate and resolve issues raised by data science, digital, and platform teams.
Collaborate with data science, cloud engineering, machine software, and service teams to align data flow and operational requirements.
Provide technical support for model deployment processes and data-driven features.
Contribute ideas for improving software quality, automation, and development efficiency.
Create and maintain technical documentation for platform components and operational processes.

Qualifications

About You:

Bachelor's a Master's degree in Computer Science or related field.
Excellent programming skills in JavaScript/TypeScript; experience with Node.js and React is highly valued.
Strong software engineering fundamentals, including design patterns, testing practices, and CI/CD workflows.
Experience with GraphQL, Prisma, and PostgreSQL, or similar API and database technologies.
Solid understanding of cloud-integrated systems and data flows; exposure to Microsoft Azure or comparable cloud platforms is a plus.
Familiarity with modern frontend technologies such as Tailwind CSS and testing frameworks like Playwright.
Understanding of system interfaces between software, data pipelines, and cloud services.
Excellent interpersonal skills with the ability to collaborate effectively across teams.
Excellent written and spoken English.
Curious, proactive and motivated to learn and contribute to TOMRA’s digital and MLOps capabilities.
Strong technical problem-solving, troubleshooting, and follow-up skills.
Organised, detail-oriented and able to work independently and under pressure.
Willingness to travel internationally to support new digital solutions and/or new applications (<10%).

Additional Information

How to Apply:

If this sounds like you, we would love to hear from you! All applications will be managed in the strictest confidence.

TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.

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