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6 дней назад

Associate Engineer - DevSecOps (AI)

103 000 - 145 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Engineer - DevSecOps (AI): Protecting AI infrastructure, data, and cloud applications by developing security automation, secure delivery pipelines, and DevSecOps capabilities with an accent on AI-assisted development, prompt engineering, and API integrations. Focus on building small software components, validating security controls, documenting operational procedures, and troubleshooting under senior guidance.

Location: Alameda, California, United States; onsite office role

Salary: $103,000–$145,000 annually

Company

hirify.global is a biotechnology company developing medicines and supporting AI-enabled infrastructure and systems for its operations.

What you will do

  • Develop AI-assisted security automation, secure software delivery pipelines, and DevSecOps capabilities.
  • Translate requirements into software components, scripts, prompts, test cases, and configuration changes.
  • Use approved coding copilots and agentic development tools to prototype, document, and improve code with review.
  • Support prompt engineering, basic agent workflows, retrieval-assisted use cases, and API integrations for security controls and observability.
  • Research, document, and resolve routine security questions and issues, escalating complex matters to senior colleagues.
  • Write tests, validation checks, troubleshooting steps, documentation, and operational runbooks; participate in reviews, demos, and testing sessions.

Requirements

  • Bachelor’s degree in a related discipline or an equivalent combination of education and experience.
  • Early experience through internships, academic projects, research, open-source work, hackathons, or a personal portfolio.
  • Foundational programming ability in Python, JavaScript/TypeScript, Java, or a similar language.
  • Basic knowledge of data structures, APIs, Git, debugging, testing, and documentation.
  • Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science.
  • Clear communication, critical thinking, attention to detail, and understanding of responsible AI, data privacy, and information security.

Culture & Benefits

  • Collaborative office environment with equipment including dual monitors and ergonomic chairs.
  • Medical, dental, vision, life, disability, and flexible spending account benefits.
  • 401(k) plan with company contributions and eligibility for annual bonuses.
  • Stock purchase opportunities and long-term incentives.
  • 15 accrued vacation days in the first year, 17 paid holidays, and up to 10 sick days annually.
  • No travel is required.

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