Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает четко очерченную роль Staff-инженера с заметным влиянием на продукт в быстроразвивающейся сфере ИИ, серьезной технической ответственностью и долей в компании; без указанной зарплаты важная часть предложения остается неясной.
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Зарплата не указанаСовременный стекСфера ИИБольшая ответственностьПроцессы в развитииБюджет на развитие
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer for Storage Platform (AI): Building the storage infrastructure that manages, protects and serves hundreds of petabytes of driving data for model training, simulation and data pipelines with an accent on lifecycle management, performance, security and cost efficiency. Focus on designing Kubernetes-native caching and secure replication, reducing GPU data wait times, and establishing governance, auditing, SLOs and measurable platform outcomes.
Location: Hybrid work from the London office, United Kingdom
Company
hirify.global is building an AI platform for autonomous driving, using embodied AI to help vehicles learn from real-world experience and operate safely at scale.
What you will do
Lead a multi-quarter storage platform programme from problem definition and architecture through delivery and adoption.
Build production services, controllers and infrastructure with Python, Go or a similar language, Kubernetes and Terraform.
Improve access to petabyte-scale driving data by addressing read performance, caching, throttling and cross-region data movement.
Design data ownership, tagging, retention, deletion and cost-attribution capabilities for large datasets.
Strengthen access controls, auditing, encryption, secure replication and safe deletion in partnership with Security and Privacy.
Define platform standards, dashboards and SLOs while mentoring engineers and aligning teams through design documents and RFCs.
Requirements
Staff Engineer-level experience leading complex infrastructure programmes across multiple teams.
Experience operating petabyte-scale object storage, including data layout, lifecycle management, performance and cost optimization.
Experience building systems for data ownership, tagging, cataloguing, retention or deletion.
Strong security and access-management experience, including IAM/RBAC, encryption, secure replication and auditing.
Hands-on software engineering experience with Python, Go or comparable technologies, plus production Kubernetes, Terraform and CI.
Ability to work on a hybrid basis from the London office.
Nice to have
Experience with AWS or GCP.
Interest in autonomy, learning and growing a platform team from a founding role.
Culture & Benefits
Hybrid working with core hours, combining office collaboration and remote focus time.
Opportunity to work hands-on in vehicle workshops and labs.
Market-benchmarked salaries, meaningful equity and learning and development budgets.
Comprehensive benefits may include health insurance, dental coverage, enhanced parental leave, retirement or pension plans, therapy access and wellbeing partnerships.
Relocation support and visa sponsorship are available where applicable.
Hiring process
Initial 30-minute recruiter screening call.
Competency and programming interview followed by system design and storage-focused technical interviews.
Final 30-minute mission and values interview.
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