Software Development Engineer TS/SCI (FSP)

Description

As a Software Development Engineer in this role, you will focus on designing and implementing robust event-driven architectures that enhance observability and enable comprehensive tracking of events across diverse data pipelines. Your work will involve developing modular systems that support seamless integration with new data formats and domains, ensuring scalability and adaptability as business needs evolve. You will be responsible for building solutions that prioritize access control, fault tolerance, and real-time alerting, all while maintaining high standards for record keeping in a digital environment. Leveraging your expertise, you will help create frameworks that allow for granular monitoring and rapid response to system events, supporting the organization’s commitment to operational excellence.

To excel in this position, you should be comfortable working with technologies such as Python for asynchronous and concurrent programming, Kafka for distributed messaging, and JSON for data interchange. Familiarity with observability tools like Grafana and the ELK stack will be essential for building dashboards and monitoring system health. Experience with distributed systems, event-driven design patterns, and implementing fault-tolerant architectures will be highly beneficial. Exposure to best practices in modular software design, access management, and scalable pipeline development will further support your success as you contribute to expanding the organization’s data infrastructure.

* This role requires an active TS/SCI FSP to start *

Requirements

Desired Skills:

• Python
• Kafka
• Distributed Systems
• Event-Driven Design
• Asynchronous Coding
• Concurrency
• JSON
• Fault Tolerance
• Observability
• Grafana
• ELK

Preferred Skills/Experience:

• Experience with access control in event-driven architectures
• Expertise in modular system design for data pipelines
• Familiarity with alerting and record-keeping solutions
• Knowledge of expanding architectures to support multiple data domains and formats