Applications Developer III
ARSIEM Corporation · Arlington, VA · Today
On-siteEngineeringFull-time
Responsibilities
- Develop automated data pipelines for technology integration initiatives
- Create automation workflows for malware sample collection, detonation, and taxonomy
- Implement data integration automation between pilot and production systems
- Support Automated Malware Analysis (AMA) platform development and enhancement
- Create scripts and tools to automate repetitive technical tasks
- Develop data transformation and normalization automation
- Develop monitoring and alerting automation for integrated systems
- Implement API integrations for data sharing and workflow automation
- Document automation solutions and maintain code repositories
- Support scaling automation from pilot to production environments
- Optimize automation performance and efficiency
- Collaborate with analysts to identify automation opportunities
- Ensure automation solutions maintain data quality and integrity
- Support continuous improvement of automated capabilities
Requirements
- BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
- 5+ years of experience in automation engineering, data engineering, or software development
- Subject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53
- Experience with data ingestion pipeline design on AWS
- Experience with S3 data storage architecture and schema design for analytic workflows
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience developing data pipelines and ETL processes
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Familiarity with version control (Git) and CI/CD practices
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Qualifications
- Experience with malware analysis automation or cybersecurity tools
- Experience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks)
- Knowledge of AI/ML pipelines and data preparation
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
- DoD 8140 IAT Level IIICSSLP Clearance Requirement: This position requires an Active TS/SCI clearance and the ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability.