DevOps Engineer

We are seeking a DevOps Engineer with a solid background in Neo4j, InfluxDB, to join our AI-driven engineering team.

You will play a key role in deploying, managing, and optimizing data-intensive pipelines that power time series analytics, graph databases, and generative AI systems. A working knowledge of deep learning frameworks is highly desirable.

Responsibilities

Design, deploy, and manage production-grade Neo4j and InfluxDB environments.
Automate deployment and monitoring of machine learning pipelines and inference APIs.
Implement robust logging and time series monitoring strategies using InfluxDB.
Work with data scientists to containerize and scale training/inference workloads (e.g., using Docker, Kubernetes).
Ensure security and performance best practices in cloud or on-prem environments.
Required Skills

4 to 8 years of DevOps/SRE experience.
Hands-on with Neo4j (Cypher, indexing, backups, clustering).
Strong experience with InfluxDB and time-series data handling.
Proficient with Docker and Kubernetes.
Solid scripting skills in Python.
Cloud infrastructure experience with AWS.
Nice to Have

Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Education

Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent practical experience.
Job Type: Part-time

Pay: $60.00 per hour

Work Authorisation:

Australia (Required)
Work Location: In person