24 часа назад
Software Engineer and Data Integrator (AI)
176 000 - 192 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer and Data Integrator (AI): Designing, developing, and integrating solutions that analyze large data sets to provide mission-centric insights with an accent on Python software development, data normalization, cloud services, and AI/ML integration. Focus on deploying containerized services with Docker and Kubernetes, eliciting stakeholder requirements, and determining the applicability of AI and machine learning solutions.
Company
develops software and data integration solutions for mission-centric analysis and insights.
What you will do
- Design, develop, and integrate solutions for analyzing large data sets and producing mission-centric insights.
- Build scripts to convert and normalize data.
- Deploy and manage services using Docker and Kubernetes.
- Apply DevOps practices in cloud-based hosting environments.
- Evaluate stakeholder requirements and determine where AI and machine learning solutions are applicable.
- Collaborate with analysts, data scientists, software and systems engineers, and systems administrators.
Requirements
- Top Secret/SCI clearance with Full Scope Poly is required.
- At least 8 years of software development experience.
- Production-grade Python development experience.
- Experience using AI, LLMs, and current technologies.
- Experience deploying and managing services in AWS or Azure.
- Experience with Docker, Kubernetes, Git or Bitbucket, and Atlassian tools including Jira and Confluence.
Nice to have
- Additional programming experience with Java or C.
- Experience prototyping web applications with JavaScript.
- Full-stack development experience.
- Experience analyzing cybersecurity-related data sets, including network traffic and operating system events.
- Knowledge of end-to-end SIGINT collection and analysis systems.
Culture & Benefits
- Annual salary of $176,000–$192,000.
- Additional $44,000–$48,000 in immediately vested company 401(k) contributions.
- Close collaboration across analytics, data science, software engineering, systems engineering, and systems administration functions.
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