Applications Developer III
Core
Build and maintain automated data pipelines, workflows, and infrastructure for malware analysis and cybersecurity platforms.
Role type
Senior IC automation/data engineering engineer
Builds
Automated data pipelines, malware analysis workflows, and CI/CD infrastructure for government clients
Domain
Cybersecurity / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AWS (VPC, EC2, EKS, IAM, SQS, SNS, Lambda, Route 53), data pipeline design, ETL processes, API integration, Git, CI/CD, data modeling, automation frameworks
Preferred skills
Malware analysis automation, AWS support services (EMR, Kinesis, GuardDuty), workflow orchestration (Airflow, Prefect), containerization (Docker, Kubernetes), streaming data (Kafka, Kinesis), big data (Spark, Hadoop), federal cybersecurity programs
Technologies
Python, AWS, Git, Docker, Kubernetes, Airflow, Prefect, Kafka, Kinesis, Spark, Hadoop
Responsibilities
Develop automated data pipelines for technology integration, create automation workflows for malware sample collection and analysis, implement data integration between pilot and production systems, develop scripts to automate repetitive technical tasks, implement API integrations for data sharing, support AI/ML data preparation and feature engineering, develop monitoring and alerting automation, optimize automation performance and efficiency, collaborate with analysts to identify automation opportunities
Seniority
Senior, hands-on IC