1

Python Kubernetes Software Engineer Data Jobs in Syracuse, NY

Data Engineer

Syracuse, NY · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Senior Software Test Engineer

Syracuse, NY · On-site

$112.50 - $140/hr

Strong scripting skills (e.g., Python, Bash) for test automation and tool creation. * Experience ... Experience testing distributed systems and data processing pipelines. * Knowledge of performance ...

DevOps Engineer

Syracuse, NY · On-site

$52 - $71.50/hr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related field ... Experience with Shell/Bash and additional scripting languages (Python, Ruby, etc.) * Expert working ...

Senior AI Engineering

Syracuse, NY · On-site

$150 - $275/hr

Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery.

Showing results 21-40

Python Kubernetes Software Engineer Data information

What are popular job titles related to Python Kubernetes Software Engineer Data jobs in Syracuse, NY? For Python Kubernetes Software Engineer Data jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Python Kubernetes Software Engineer Data jobs in Syracuse, NY look for? The top searched job categories for Python Kubernetes Software Engineer Data jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Python Kubernetes Software Engineer Data jobs? Cities near Syracuse, NY with the most Python Kubernetes Software Engineer Data job openings:

Data Engineer

Bespoke Labs

Syracuse, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 25 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines