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Backend Senior and Staff Engineers (AI)

100 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Backend Senior and Staff Engineers (AI): Building backend services, integration platforms, and infrastructure for autonomous AI workers in cybersecurity with an accent on distributed systems, enterprise integrations, scalability, and reliability. Focus on designing stateless and stateful architectures, implementing APIs and microservices, and building secure multi-cloud infrastructure with Kubernetes, Terraform, and CI/CD.

Location: Hybrid in San Francisco, CA or New York, NY

Salary: $100,000–$300,000 annually, with possible variable compensation, equity, and benefits.

Company

hirify.global is an applied AI lab building autonomous AI agents and cybersecurity workflows for enterprise environments.

What you will do

  • Design and implement backend and integration platform subsystems supporting autonomous AI workers.
  • Translate business goals, product strategies, and customer requirements into backend and integration solutions.
  • Adapt systems to new design-partner requirements and non-functional needs such as compliance, security, and enterprise integration.
  • Design and build scalable infrastructure for future growth in headcount, customers, and data.
  • Contribute to reliability, security, disaster recovery, engineering excellence, and operational excellence.
  • Support onboarding and development of future engineers and help improve the hiring process.

Requirements

  • 5+ years of professional experience as a hands-on engineer and technical leader.
  • Expertise architecting, developing, and scaling stateless and stateful backend systems for enterprise applications.
  • Experience with distributed systems, microservices, and serverless architectures.
  • Strong knowledge of Python, Go, or similar backend programming languages, including concurrency, memory management, and performance optimization.
  • Experience designing and implementing RESTful and/or gRPC APIs integrating with frontend systems, data platforms, and third-party services.
  • Experience with Kubernetes, Docker, Terraform, CI/CD pipelines, and multi-cloud environments including AWS, GCP, and Azure.

Culture & Benefits

  • Work with an applied AI engineering team focused on cybersecurity and agentic security workflows.
  • Collaborate with design partners and Fortune 500 customers operating complex production environments.
  • Contribute to building engineering, operational, and recruiting practices as the company scales.
  • Potential eligibility for variable compensation, equity, and benefits.
  • Commitment to an inclusive and diverse workplace.

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