Find Production engineer (kubernetes) Jobs in Dublin, D

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
Principal Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- AI
- Communication skills
11d
Staff Cloud Backend Engineer (Database)
Sonatus —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
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3d
Senior Software Engineer
Fivetran —Dublin, County Dublin
- Full-time
- AWS
- Communication skills
- Python
- Annual leave
- Sick pay
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Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
5h
Sr. Full-Stack Developer (Python & Java)
Broadridge —Dublin, County Dublin
- Full-time
- English
- Java
- AWS
7d
Engineering Director
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
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Senior Software Engineer
InterSystems —Dublin, County Dublin
- Mentoring
- Linux
- AI
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6d
Senior .NET Engineer
AccountsIQ —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
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Cloud Operations Engineer
MongoDB —Dublin, County Dublin
- On call
- Remote
- Azure
- DevOps
- Java
Senior Site Reliability Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Windows
- SQL
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Technical Services Engineer
MongoDB —Dublin, County Dublin
- Weekend availability
- Azure
- DevOps
- Java
DevOps Engineering Manager
Gong.io —Dublin, County Dublin
- DevOps
- Java
- AWS
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Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

Qualifications

CI/CD
Computer Science
Kubernetes
Spark
UNIX
Git
Research
Bash (Unix shell)
Bachelor's degree
Distributed systems
Linux
Communication skills
Python

Full job description

Quantitative Developer – Compute & ML Platform

About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team
The Execution Services team supports trading across products and geographies, with a focus on execution quality, trading efficiency, and the tools that help portfolio managers make informed decisions. Within this group, Central Liquidity Strategies develops and operates trading capabilities that support internal liquidity solutions across the platform. The team works across quantitative research, platform engineering, and production systems to build the compute, storage, and model infrastructure that supports research and live trading.

What You'll Do

Extend the proprietary distributed dataset API, a Polars-style, lazily evaluated, DAG-planned DataFrame surface, with new operators, optimizations, and a strong new-user experience
Design and implement machine learning pipelines spanning large-scale training and tuning, model serving, production validation, and the full retraining lifecycle for a growing model fleet
Improve the reliability, observability, and multi-user capabilities of the compute infrastructure, including resource management, workload isolation, and clean backend interfaces
Build durable abstractions that allow the platform to remain flexible as distributed compute backends evolve
Write, support, maintain, and test code using strong engineering practices, including unit testing, documentation, automation, and CI/CD workflows
Partner with team members on the direction, design, and architecture of the platform
Collaborate closely with researchers and platform engineers to align compute and storage capabilities across the environment

What You Bring

6+ years of Python and distributed systems experience in a quantitative finance environment, with a strong track record of building platform abstractions used by others in production
Bachelor’s degree in Computer Science, Mathematics, Financial Engineering, Operations Research, or a related field
Deep working knowledge of one or more distributed compute frameworks such as Ray, Dask, Spark, PySpark, or Slurm, with a clear understanding of their tradeoffs
Hands-on experience implementing machine learning and deep learning workflows using tools such as PyTorch and XGBoost, with comfort across the full training-to-serving lifecycle
Strong Python skills, and optionally kdb+, for platform and research-focused development
Strong working knowledge of Git, Unix/Linux, Bash, and modern CI/CD workflows
Strong communication skills and the ability to work effectively in a collaborative team environment
Experience with kdb+, PyKX, Polars, Arrow, columnar or lazy query engines, cash equities, live analytics, and/or cloud tooling including Kubernetes is a plus

Apply Now

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production engineer (kubernetes) jobs in dublin, d

Quantitative Developer – Compute & ML Platform

Principal Software Engineer

Staff Cloud Backend Engineer (Database)

Senior Software Engineer

Senior Data Engineer

Sr. Full-Stack Developer (Python & Java)

Engineering Director

Senior Engineer, Network Observability

Senior Software Engineer

Senior .NET Engineer

Cloud Operations Engineer

Senior Site Reliability Engineer

Technical Services Engineer

DevOps Engineering Manager

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