
51 - 200 employees
Founded 2001
🔒 Cybersecurity
🤖 Artificial Intelligence
🏛️ Government
Cybersecurity • Artificial Intelligence • Government
Global InfoTek, Inc. is a company that specializes in delivering cutting-edge national security solutions with a focus on speed, agility, and innovation. They support federal agencies by providing enterprise application development, cloud engineering, cybersecurity solutions, advanced analytics, and data visualization, as well as artificial intelligence and machine learning. Their mission is to equip the national security community with the necessary tools to combat threats and challenges effectively. Global InfoTek is committed to building the careers of top-tier cybersecurity professionals to ensure the nation's security.
🕒 July 2
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51 - 200 employees
Founded 2001
🔒 Cybersecurity
🤖 Artificial Intelligence
🏛️ Government
Cybersecurity • Artificial Intelligence • Government
Global InfoTek, Inc. is a company that specializes in delivering cutting-edge national security solutions with a focus on speed, agility, and innovation. They support federal agencies by providing enterprise application development, cloud engineering, cybersecurity solutions, advanced analytics, and data visualization, as well as artificial intelligence and machine learning. Their mission is to equip the national security community with the necessary tools to combat threats and challenges effectively. Global InfoTek is committed to building the careers of top-tier cybersecurity professionals to ensure the nation's security.
• 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.
• 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.
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