Cloud Application Developer [$375k/yr] TS/SCI CI-Poly Remote / Telecommute Jobs
Candidates must already possess an active Top Secret/SCI w. CI Polygraph to be considered for this position. Apply in 60 seconds at Summary: • Join our team to design, deploy, and manage cutting-edge AWS cloud infrastructure while driving innovation and automation in a fast-paced DevOps environment. Qualifications & Compensation: • Compensation Based on Experience: $314K-$375K/yr (Salary determined by years of expertise and skillset) • This is an extremely rare and unique opportunity to work with innovative cloud technologies in a dynamic, mission-driven environment • Response Deadline: 15 December 2025 • Response Deadline: 15 December 2025 • Anticipated Start: 02 January 2026 • Anticipated Duration: ~ 31 July 2026 (with expected extension through 2027) Job Description: Develop and maintain web applications and APIs with geospatial data processing capabilities. Build data pipelines and integration workflows. Requires proficiency in Python, Git, Docker, Kubernetes, and Web Services. Focuses on Software Development, Database Engineering, Continuous Integration, and DevOps. Desired skills include Machine Learning/Artificial Intelligence, Workflow automation, AWS, Customer Dataflow, Software Testing, Data Science, and Streaming Analytics. Required Skills: • Must have 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 Desired Skills: • 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) About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at To learn about our compensation ranges, visit our Pay Transparency page at: Apply tot his job