Note: The job is a remote job and is open to candidates in USA. Global InfoTek, Inc. is an award-winning company specializing in cyber operations and advanced technology solutions. They are seeking a Principal Software Engineer to lead production software development for passive RF emitter identification and network analysis, overseeing a team and ensuring the performance and reliability of the software pipeline.
Responsibilities
- Own the architecture and implementation of the production software pipeline, including stream ingestion, rollup, database write, and batch post-processing components
- Lead a team of Senior Software Engineers in support of real world cyber operations; assign work, conduct code reviews, enforce quality standards, and provide technical mentorship
- Establish and maintain disciplined software engineering practices: versioning, CI/CD pipelines, unit and integration testing, and documentation standards
- Design and evaluate database and storage architecture for the tactical system and research enclave environments
- Collaborate with the program technical lead to translate research findings and batch optimization algorithms into production pipeline components
- Evaluate and benchmark Python pipeline performance on tactical-box-spec hardware; identify bottlenecks and lead porting of mature components to Rust or C for edge deployment
- Manage and coordinate the tactical system VM environment and stream simulation infrastructure; ensure research VM is not disrupted by development activity
- Define and enforce stream interface contracts between the ingestion layer, database, and downstream consumers
- Evaluate emerging technologies (e.g., DuckDB/Parquet, Polars, message queues) against program requirements and recommend adoption decisions to the technical lead
- Maintain the program’s GitLab repository structure, branching strategy, and release management
- Produce clear technical documentation including architecture decision records, interface specifications, and deployment guides
- Support technical reviews and provide written inputs for sponsor deliverables as directed by the program technical lead
Skills
- 10+ years of relevant experience
- BS Degree — experience may be considered in place of education requirement
- Demonstrated experience leading a software engineering team on a production data pipeline or streaming system; ability to set technical direction and mentor junior engineers
- Expert-level Python development, including stream processing, multi-threaded/async architectures, and performance profiling
- Proficiency in one or more compiled or systems languages (Rust, C, C++, or Go) for performance-critical components; experience porting Python to compiled targets
- Hands-on experience designing and implementing relational database schemas and write-intensive data pipelines (MySQL, PostgreSQL, or equivalent)
- Experience parsing binary serialization formats such as FlatBuffers or Protocol Buffers in a production context
- Demonstrated ability to benchmark and optimize pipeline throughput on resource-constrained hardware or cloud environment
- Strong proficiency with Linux system administration, remote server management via SSH, and air-gapped development environments
- Experience architecting multi-consumer data systems where a single write path must serve concurrent display, analytics, and batch processing readers
- Proficient in disciplined software engineering practices: GitLab/Git, CI/CD pipeline design, test-driven development, and code review
- Excellent written and oral communication skills; ability to produce architecture decision records and technical documentation for both engineering and leadership audiences
- Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
- Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
- Experience deploying and operating software on tactical edge hardware co-located with a sensor system
- Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
- Experience with Polars or DuckDB for high-performance analytical workloads and write-once/read-many storage patterns
- Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
- Familiarity with AI/ML model inference integration — ability to incorporate batch optimizer outputs into the production pipeline without requiring ML expertise
- Experience with browser-based data visualization or reporting tools (React, D3, or equivalent) as a consumer of pipeline output
- Experience with Jupyter Notebooks and research enclave environments; ability to bridge from research prototype to production code
- Experience with FlatBuffers binary stream replay and simulation infrastructure for pipeline testing
- Familiarity with Rust toolchain and ecosystem for systems-level development on Linux
Benefits
- 1099/Consultant ($150 - $200 per hour)
Company Overview