Software engineer focused on Data, Workflows, AI/ML and Analytics Solutions building open source solutions for public cloud and private infrastructure.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission.
Responsibilities
Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Design, build and maintain solutions deployed on public and private clouds and local workstations
Master distributed systems concepts such as observability, identity, tracing
Work with both Kubernetes and machine-oriented open source applications
Collaborate proactively with a distributed team of engineers, designers and product managers
Conception et implémentation de systèmes data-intensive et de pipelines de récupération, de traitement et de stockage de la donnée. Développement de dashboards de datavisualisation et d’aide à la décision. Travaux d’intégration sur des plateformes BigData/IA. Modélisation de la donnée.
Responsibilities
Conception et implémentation de systèmes data-intensive et de pipelines de récupération, de traitement et de stockage de la donnée
Développement de dashboards de datavisualisation et d’aide à la décision
Travaux d’intégration sur des plateformes BigData/IA
Modélisation de la donnée
Requirements
Bac+5 en informatique (École d'ingénieur ou Master)
Conception et implémentation de systèmes data-intensive et de pipelines de récupération, de traitement et de stockage de la donnée. Développement de dashboards de datavisualisation et d’aide à la décision. Travaux d’intégration sur des plateformes BigData/IA. Modélisation de la donnée.
Responsibilities
Conception et implémentation de systèmes data-intensive et de pipelines de récupération, de traitement et de stockage de la donnée
Développement de dashboards de datavisualisation et d’aide à la décision
Travaux d’intégration sur des plateformes BigData/IA
Modélisation de la donnée
Requirements
Bac+5 en informatique (École d'ingénieur ou Master)
Responsible for performing threat analysis, correlating threat data, and delivering Risk to Mission Assessments leveraging Army’s suite of modernized AI-driven data platforms, such as Gabriel Nimbus, MADSS and Palantir’s Foundry Suite of Tools (Vantage).
Locations (2)
Huntsville, Alabama, United States
Colorado, United States
Responsibilities
Perform defensive cyber threat analysis by reviewing technical indicators, vulnerabilities, and attack patterns affecting Army networks, systems, and missions.
Correlate defensive cyber threat data from authorized cybersecurity sources to support Risk-to-Mission Assessments and operational decision-making.
Assess and quantify cyber risks using approved scoring methodologies to Army information systems, operational technologies, and mission-critical environments in support of network defense and mission assurance.
Integrate and visualize defensive cyber risk and threat analysis data through dashboards focusing on system impact, Risk-to-Mission and communicating recommended cybersecurity mitigations.
Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats.
Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
Requirements
Bachelor’s degree in computer science, Engineering, or a related field
Responsible for performing threat analysis, correlating threat data, and delivering Risk to Mission Assessments leveraging Army’s suite of modernized AI-driven data platforms, such as Gabriel Nimbus, MADSS and Palantir’s Foundry Suite of Tools (Vantage).
Responsibilities
Perform defensive cyber threat analysis by reviewing technical indicators, vulnerabilities, and attack patterns affecting Army networks, systems, and missions.
Correlate defensive cyber threat data from authorized cybersecurity sources to support Risk-to-Mission Assessments and operational decision-making.
Assess and quantify cyber risks using approved scoring methodologies to Army information systems, operational technologies, and mission-critical environments in support of network defense and mission assurance.
Integrate and visualize defensive cyber risk and threat analysis data through dashboards focusing on system impact, Risk-to-Mission and communicating recommended cybersecurity mitigations.
Support cybersecurity incident response activities, including technical analysis, root-cause assessment, and post-incident reporting.
Requirements
Bachelor’s degree in political science, Computer Science, or Cybersecurity related field
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