Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$160к-225к/год
$190к$220кмедиана$250к
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer, Platform Services (AI) (Go/platform infrastructure): Building secure platform services for AI applications, including identity, rules-driven workflows, auditability, data exchange, onboarding, and Kafka-backed integrations with an accent on authentication, authorization, data modeling, and dependable distributed systems. Focus on designing service boundaries and APIs, implementing RBAC and audit systems, and building secure, observable infrastructure that remains reliable under load.
Location: Hybrid role based in Arlington, VA, United States
Base salary: $160,000–$225,000 per year, plus performance bonus and stock options.
Company
hirify.global builds AI and optimization software for complex operational environments, combining computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, real-time communications, and secure cloud infrastructure.
What you will do
Build secure platform services in Go for identity, rules-driven workflows, auditability, data exchange, and customer onboarding.
Design data models, schemas, persistence strategies, APIs, and service boundaries for core platform capabilities.
Implement authentication, authorization, and RBAC.
Build audit systems and controlled data-exchange services.
Develop Kafka-backed event-driven integrations and participate in architecture and code reviews.
Ensure platform services are secure, observable, dependable, and reliable under load.
Requirements
5+ years of professional backend engineering experience.
Strong production experience with Go.
Experience with relational data modeling and schema design.
Experience building authentication and authorization systems.
Experience with distributed systems and APIs.
Legally authorized to work in the United States.
Nice to have
Experience with Apache Kafka and event-driven systems.
Experience building rules engines or workflow systems.
Experience with audit logging, encryption, and secrets management.
Experience with Kubernetes, Docker, and CI/CD.
Experience in regulated, government, or high-security environments.
Culture & Benefits
Health, dental, and vision coverage for eligible employees.
Performance bonus opportunities and stock options.
Flexible work environment with significant technical ownership.
Direct influence over product and architecture decisions.
Opportunities to work across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
Collaborative engineering environment with direct visibility into company and product strategy.
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