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Posted 21 hours ago
Software Engineer (Full Stack) - SME
GRVTYSoftware Engineer (Full Stack) - SME
Perks & benefits
Medical InsuranceHealth Insurance
Requirements
Active TS/SCI clearance, Bachelor's degree in CS or Engineering, 14+ years full stack experience, Expert Python proficiency, Experience with React.js, Node.js, or Electron, Experience with PostgreSQL, MongoDB, or BigQuery, Experience with Docker and CI/CD
Skills
PythonReactMLOps
About the role
Responsibilities
- Lead architectural design of complex features and translate customer requirements into technical solutions
- Develop and maintain full stack applications supporting ML/Ops pipelines and data-driven systems
- Design and implement scalable APIs and services for machine learning model deployment
- Develop and maintain data pipelines, ETL processes, and data storage solutions
- Collaborate with data scientists and ML engineers to operationalize models in production
- Optimize application performance for scalability and reliability in edge and distributed environments
- Conduct peer reviews, establish coding standards, and mentor junior engineers
- Own code in production environments and lead root cause analysis for incidents
Requirements
- Active TS/SCI clearance with ability to obtain CI poly
- Bachelor’s degree in Computer Science, Engineering, or related technical field
- 14+ years of professional experience in full stack software development
- Expert-level proficiency in Python and object-oriented design patterns
- Extensive experience with backend systems, APIs, and data processing pipelines
- Strong experience with React.js, Node.js, and/or Electron
- Experience with relational and non-relational databases (PostgreSQL, MongoDB, BigQuery)
- Experience supporting machine learning workflows and ML/Ops tools (MLflow, DVC, Optuna)
- Proficiency with Python libraries (NumPy, Pandas) and frameworks (Flask, FastAPI, Pydantic)
- Experience with containerization (Docker) and CI/CD pipelines
- Experience working in Agile development environments
Preferred Qualifications
- Experience supporting government or defense-related programs
- Knowledge of real-time data processing, streaming architectures, or distributed systems
- Experience with cloud-based ML/Ops (AWS, Azure, or GCP)
- Knowledge of geospatial data processing tools (GeoPandas, Shapely, Rasterio, QGIS, ArcPy)
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
- Experience with remote procedure call technologies (gRPC, JSON-RPC)
About the Company
GRVTY delivers mission and technical expertise to tackle systemic national security issues. We partner with customers to overcome challenges in technology and defense to outpace adversaries.
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GRVTY · Springfield
