Staff Engineer Data Platform
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement a knowledge graph and multimodal API platform. You will build DataOps infrastructure and integrations, establish data-modeling standards, evaluate storage and compute technologies, create developer tools and SDKs, and improve the platform's reliability, security, and operational quality.
Requirements
- Distributed systems
- Data platform
- Storage systems
- Backend
- Go
- Python
- Data modeling
- API design
- Schema evolution
- Identity
- Consistency
- Indexing
- Query planning
- Relational database
- Graph database
- Object storage
- Columnar database
- File storage
- Data ingestion
- Kubernetes
- Linux
- Networking
- Security
- Observability
- Infrastructure as Code
- Platform engineering
- Apache Arrow
- Parquet
- OpenAPI
- AsyncAPI
- WebSocket
- Terraform
- Helm
- GitOps
- Ray
- Kafka
- NATS
- Redpanda
- Machine learning
- Experiment tracking
- Dataset management
- Model versioning
- Authorization
- Data governance
- Auditability
Responsibilities
- Lead the architecture and implementation of a knowledge graph and multimodal API layer
- Maintain storage, indexing, query, ingestion, and compute infrastructure
- Establish schema modeling, relationship, lineage, and schema evolution practices
- Build APIs for agentic data access
- Develop storage, compute, deployment, benchmark, and operational reference architectures
- Turn downstream workflows into reusable platform capabilities
- Deliver integrations for simulation, testing, training, and edge-device data
- Create self-service APIs, SDKs, tools, examples, and diagnostics
- Evaluate data and AI infrastructure technologies and guide implementation
- Establish observability, reliability, security, data integrity, disaster recovery, and lifecycle practices
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package after 60 days of employment