
1001 - 5000 Mitarbeiter
🤖 Künstliche Intelligenz
🔒 Cybersecurity
Artificial Intelligence • Cybersecurity • Cloud Solutions
ActioNet, Inc. ist ein führender Anbieter von IT-Dienstleistungen mit Spezialisierung auf künstliche Intelligenz, agile Softwareentwicklung, Cybersicherheit, Cloud-Lösungen und Managed Services. Das Unternehmen befähigt Behörden und Unternehmen, Prozesse zu automatisieren, die Cybersicherheit zu verbessern und ihre IT-Infrastruktur an moderne Anforderungen anzupassen. Mit einem starken Fokus auf Innovation bietet ActioNet umfassende Managed Services und Lösungen, die auf die Weiterentwicklung kritischer Missionen in Gesundheit, Wohlstand und Sicherheit der USA zugeschnitten sind.
🕒 vor 5 Monaten
🗣️🇺🇸🇬🇧 Englisch erforderlich
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1001 - 5000 Mitarbeiter
🤖 Künstliche Intelligenz
🔒 Cybersecurity
Artificial Intelligence • Cybersecurity • Cloud Solutions
ActioNet, Inc. ist ein führender Anbieter von IT-Dienstleistungen mit Spezialisierung auf künstliche Intelligenz, agile Softwareentwicklung, Cybersicherheit, Cloud-Lösungen und Managed Services. Das Unternehmen befähigt Behörden und Unternehmen, Prozesse zu automatisieren, die Cybersicherheit zu verbessern und ihre IT-Infrastruktur an moderne Anforderungen anzupassen. Mit einem starken Fokus auf Innovation bietet ActioNet umfassende Managed Services und Lösungen, die auf die Weiterentwicklung kritischer Missionen in Gesundheit, Wohlstand und Sicherheit der USA zugeschnitten sind.
• Provide IT support for cloud-based compute and storage environments used to produce protected data products for research and dissemination • Administer distributed cloud platforms, including provisioning, configuration, monitoring, and lifecycle management for high-performance workloads • Support large data processing environments using frameworks such as Apache Spark and optimization tools • Establish and maintain operational parameters for deploying and executing data processing and dissemination workflows • Design and optimize cloud storage configurations, including data curation and removal of redundant datasets • Implement high performance computing (HPC), storage, and workflow optimizations • Deploy and manage monitoring and dashboard solutions to track cluster usage, performance, availability, and cost efficiency • Optimize resource utilization by identifying and terminating idle or unused compute resources • Manage user access, including account provisioning, role-based access, and deprovisioning • Install, configure, and maintain software, operating systems, and platform services, including Linux patching and updates • Produce operational and usage reports related to system performance and data storage • Provide guidance on cloud cost management, budgeting, and optimization strategies • Support agile project execution, including sprint planning, standups, retrospectives, and backlog management • Maintain Kanban or sprint boards and track tasks, milestones, and dependencies • Coordinate communication across engineering, operations, data science, and stakeholder teams • Identify and help resolve technical, operational, and process-related obstacles • Provide guidance on agile best practices and continuous improvement • Support data governance, data quality, and privacy protection requirements • Define and maintain project roles, responsibilities, and reporting structures • Develop and manage project schedules, deliverables, risks, and opportunities • Document and distribute meeting notes, action items, and decisions • Establish data transfer governance, standardized intake, validation, error handling, and repeatable evaluation workflows • Develop and maintain production-ready code, tools, and workflows to support data processing, experimentation, and dissemination, including testing and validation of outputs • Implement, monitor, and optimize cloud compute and storage environments, leveraging automation, infrastructure-as-code, and performance tuning for distributed processing frameworks • Manage source code, system updates, and operational tools, ensuring efficient collaboration, workflow tracking, and reliable execution of production and prototype workloads
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or equivalent professional experience • Experience supporting AWS EMR cloud-based compute and storage environments • Hands-on experience with distributed data processing frameworks including Apache Spark • Experience administering Linux-based systems • Proficiency in scripting or programming languages commonly used for automation and data processing • Experience with source code management platforms and collaborative development workflows • Understanding of cloud cost management and optimization concepts • Strong analytical, troubleshooting, and problem-solving skills • Ability to communicate technical concepts to both technical and non-technical audiences
• Medical Insurance • Vision Insurance • Dental Insurance • Life and AD&D Insurance • 401(k) Savings Plan • Education and Professional Training • Flexible Spending Accounts (FSA) • Employee Referral and Merit Recognition Programs • Employee Assistance and Identity Theft Protection • Paid Holidays: 11 per year • Paid Time Off (PTO) • Disability Insurance
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