Role overview
This role is a career accelerator for engineers who want to:
- Move beyond experimentation
- Own systems that actually get deployed and used
- Operate at the systems level
- Work across ML, infrastructure, and mission integration
- Build in high-trust environments
- Where correctness, auditability, and reliability matter
- Develop rare, high-demand expertise
- MLOps in constrained / classified environments is a differentiated skillset
Shape how AI is operationalized—not just built
Who We Are
Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy with a passion for solving big problems across industries.
We enable digital transformation through:
- Distributed systems
- DevSecOps
- AI/ML
- Cloud-native architecture
Our approach is cloud-first, cost-effective, and outcome-driven—focused on delivering real capability, not just code.
- 100% covered certifications & training aligned to your role
- 401(k) with 100% match up to 6%
- Highly competitive PTO
- Comprehensive Medical, Dental, Vision coverage
- Life Insurance + Short & Long-Term Disability
- Home office & equipment plan
- Industry-leading weekly pay schedule
Apply
If you're an engineer who wants to move from building models owning systems, we want to talk.
#MLOps #MachineLearning #Kubernetes #AIEngineering #CloudNative #DevSecOps #ArtificialIntelligence #DataEngineering #DefenseTech #NationalSecurity #AIInfrastructure #Hiring #TechCareers