Find Backend developer Jobs

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
6h
Senior Software Developer
AMCS Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
Quick apply
4d

More jobs to discover

Find similar jobs that you might be interested in.

Senior Calypso Developer - Capital Markets (Implementation & Transformation)
EPAM Systems, Inc. —Remote
Understanding of the trade lifecycle covering front office, risk and back-office processes. Contribute to the full software development lifecycle, from analysis…
Senior Software Engineer, Application and OS Enablement
Dolby —Dublin, County Dublin
You will work with Dolby engineering teams, OS platform owners, and product stakeholders to define practical solutions that help Dolby capabilities work…

I want to receive the latest job alerts for backend developer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

backend developer jobs near

Senior Software Engineer jobs in Dublin, County Dublin

Web Developer jobs in County Cork

Quantitative Developer jobs in County Dublin

Senior Software Engineer jobs in Cork, County Cork

Project Engineer jobs in Cork, County Cork

Field Engineer jobs in Dublin, County Dublin

Senior Software Engineer jobs in Letterkenny, County Donegal

Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

6 hours ago

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

Refine Your Search

backend developer jobs

Quantitative Developer – Compute & ML Platform

Senior Software Developer

More jobs to discover

I want to receive the latest job alerts for backend developer

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected