Data Platform Engineer (Kubernetes & MLOps)

Geospatial MLOps Engineer

National Security / Geospatial Intelligence

Specialized R&D / Defense Technology

Kansas or Oklahoma

$130,000 - $136,000

The Company

• My client is a highly specialized engineering firm supporting critical federal and defense initiatives.
• Their core mission involves building next-generation sensor fusion platforms to process complex, multi-modal signals for anomaly detection.
• They offer the stability of multi-year, mission-critical funding combined with a low-ceremony, high-autonomy engineering culture.

Why Join?

- Take
ownership
as the foundational MLOps Engineer on a
greenfield
, rapidly scaling project.
- Solve complex scaling challenges with low-TRL temporal data models.
- Work largely independently in a remote-first or hybrid environment.
- Collaborate directly with data scientists to bridge the gap between prototype algorithms and production-ready distributed systems.

The Role

A technical, hands-on role where you will:

• Design and build reproducible deployment processes and CI/CD pipelines from scratch to transition code from local environments to modern Git-based workflows.
• Implement and scale machine learning algorithms in a distributed processing environment.
• Provision cloud resources and manage containerized workloads using Docker and Kubernetes.
• Operate and select orchestration frameworks (such as Airflow, Ray, Dask, or Spark) alongside event-driven autoscaling tools like KEDA.
• Construct ML pipelines covering feature extraction, model versioning, training, and inference for spatiotemporal sensor datasets.
• Integrate temporal data models built in TensorFlow, Torch, or Keras into scalable lakehouse and event-based ETL architectures.

The Essential Requirements

- Eligible to obtain a U.S. Security Clearance -
U.S. Citizenship required.
- 3+ years of experience building and maintaining scalable data pipelines and architectures for large
spatiotemporal datasets.
- SDirect hands-on experience scaling data or ML workloads specifically using
KEDA.
- trong programming experience in Python (Polars, Pandas, PyArrow, NumPy).
- Familiarity with complex
spatiotemporal data
processing and propagation models.
- Practical familiarity with distributed systems, containerization, and orchestration tools.

What Will Make You Stand Out

- Experience with cybersecurity, telecommunications, or
defense
operations.

Call to Action

• If you are interested in this role, please apply with your resume through this site.

Disclaimer

• No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.

Keywords for Search (SEO)

• Geospatial MLOps Engineer, Machine Learning Operations, ML Engineer, ML Ops, Kubernetes, Python Data Platform Engineer, DevOps, Infrastructure, CI/CD Pipeline Creator, Docker Containerization, Spatial Tech Architect, AI Infrastructure Builder, Spark Big Data, Ray Framework, Defense Technology, defensetech