20 beste vacatures voor de functie van observability developer in amsterdam, nh (nieuwe medewerkers gezocht)

Research Engineer (Agentic Models)
JetBrains —Amsterdam
- Onderzoek
- Master
- Python
Senior Python Developer (Backend)
Protolabs —Amsterdam
- Fulltime
- Hybride werken
- DevOps
- Java
- Databases
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Stream —Amsterdam
- Fulltime
- Hybride werken
- Salesforce
- SQL
- Magazijn
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Mimica —Amsterdam
- Fulltime
- Thuiswerk
- Master
- Begeleiding
- Softwareontwikkeling
- Werk vanuit huis
- Flexibele werkuren
Senior Software Engineer - Fullstack
Databricks —Amsterdam
- Microsoft Excel
- Azure
- Doctor
Senior Software Engineer
Syntho —Amsterdam
- Fulltime
- Informatica
- DevOps
- Master
Snel solliciteren
Quality Engineering Architect [Financial Services]
CGI —Randstad
- Fulltime
- Informatica
- Azure
- Informatica
Snel solliciteren
Software Engineer II
Diligent Corporation —Amsterdam
- Hybride werken
- Databases
- AWS
- JavaScript
Snel solliciteren
Senior MLOps Engineer (ML Workflows Engineering)
JetBrains —Amsterdam
- Java
- Master
- Python
Senior Software Engineer Platform
Qdrant —Amsterdam
- Fulltime
- Thuiswerk
- APIs
- Communicatieve vaardigheden
- Python
- Flexibele werkuren
Snel solliciteren
Senior MLOps/Data Engineer
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Python
- Budget voor professionele ontwikkeling
Snel solliciteren
Data Platform Engineer
RTL —Hilversum
- € 4.500 - € 6.500 per maand
- Fulltime
- Hybride werken
- Azure
- Bachelor
- Python
Snel solliciteren
Full Stack Engineer
FUGA —Amsterdam
- Ziekenhuis
- Presentatievaardigheden
- JavaScript
Snel solliciteren
Google Cloud Platform Engineer
Kaizo —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Informatica
- DevOps
- Flexibele werkuren
Snel solliciteren
Lead Data Engineer
IQVIA —Almere
- Fulltime
- Hybride werken
- Bediening
- DevOps
- Engels
Senior AI Engineer - AI-native SDLC Platform
Shine —Amsterdam
- Master
- AI
- Bankieren
Snel solliciteren
15 uur
Senior Software Engineer Together Cloud Infrastructure
Together AI —Amsterdam
- Hybride werken
- Azure
- Troubleshooting
- Master
Staff / Senior Software Engineer (Agentic Search) - Crawler
Nebius —Amsterdam
- C++
Snel solliciteren
Senior DevOps Engineer (for MieleX)
WeAreKeen B.V. —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Troubleshooting
- DevOps
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior Software Engineer - Java Streaming - Connectors
ClickHouse —Amsterdam
- Thuiswerk
- Java
- Databases
- SQL

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Research Engineer (Agentic Models)

JetBrains -
Amsterdam

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Vacaturegegevens

Kwalificaties

Node.js
Kubernetes
PyTorch
MapReduce
Onderzoek
Master
Deep learning
Python
Debuggen
Hadoop

Volledige vacaturetekst

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.

We’ll be happy to bring you on board if you have:

Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
Inference optimization and serving optimized models in production.

#LI-KP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

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observability developer vacatures in amsterdam, nh

Research Engineer (Agentic Models)

Senior Python Developer (Backend)

Lead Data Engineer

Staff/Lead Python Engineer (FastAPI, Orchestration)

Senior Software Engineer - Fullstack

Senior Software Engineer

Quality Engineering Architect [Financial Services]

Software Engineer II

Senior MLOps Engineer (ML Workflows Engineering)

Senior Software Engineer Platform

Senior MLOps/Data Engineer

Data Platform Engineer

Full Stack Engineer

Google Cloud Platform Engineer

Lead Data Engineer

Senior AI Engineer - AI-native SDLC Platform

Senior Software Engineer Together Cloud Infrastructure

Staff / Senior Software Engineer (Agentic Search) - Crawler

Senior DevOps Engineer (for MieleX)

Senior Software Engineer - Java Streaming - Connectors

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van observability developer in amsterdam, nh

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As part of our team, you will:

We’ll be happy to bring you on board if you have:

Our ideal candidate would have experience with:

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