Application Developer
Listed on 2025-12-15
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IT/Tech
Data Engineer, AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
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This range is provided by Gridiron IT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Responsibilities- Build and maintain web applications and APIs integrating geospatial data processing capabilities.
- Develop data pipelines and integration workflows to transform and deliver spatial information.
- Collaborate with cross‑functional teams to implement features, optimize performance, and deploy applications.
- TS/SCI with CI Poly required with current Customer eligibility and SBU/SECNet/COE accounts.
- Must be willing to work in SCIF daily or as needed.
- At least 7 years of application development experience.
- Proficient in Python with modern frameworks.
- Experience with geospatial libraries and spatial databases.
- Understanding of coordinate systems, projections, and geospatial file formats.
- Experience with API documentation and authentication.
- Ability to integrate third‑party APIs and handle data transformations.
- Experience with Python testing frameworks and best practices.
- Familiarity with version control (Git) and CI/CD concepts.
- Knowledge of vector and raster data processing techniques.
- 3+ years of MLOps and ML pipeline automation.
- Experience with ML workflow orchestration (Kubeflow, MLflow, Airflow).
- Automated model retraining and deployment pipelines.
- ML experiment tracking and model registry management.
- Advanced containerization and orchestration for ML workloads.
- Docker optimization for ML inference containers.
- Kubernetes/EKS experience for ML workload management.
- GPU resource management and optimization.
- Database and data pipeline expertise.
- Feature store implementation and management.
- Real‑time feature serving and batch processing pipelines.
- Performance optimization for ML data workflows.
- Monitoring and observability for ML systems.
- Model drift detection and data quality monitoring.
- Custom metrics for ML‑specific KPIs (inference latency, model accuracy).
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation and BenefitsSalary Range: $180,000-$250,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)
Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full‑time and part‑time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs.
Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.
Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications.
These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.
Mid‑Senior level
Employment typeFull‑time
Job functionInformation Technology
IndustriesProfessional Services
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