Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$140к-215к/год
$180к$220кмедиана$260к
По похожим ролям (48) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5.3к)
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Сильная вакансия
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Чётко очерченная роль уровня Staff в продуктовой компании даёт большую ответственность за Kubernetes, мультиоблачную инфраструктуру и AI-нагрузки, при этом доля операционной поддержки обозначена заранее.
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Дежурства и инцидентыСовременный стекРабота с AIАрхитектурное влияние
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff / Principal Software Engineer (Cloud Platform & SaaS): Architecting and scaling SingleStore Helios multi-cloud SaaS control and data planes with an accent on Kubernetes orchestration, cloud networking, resilient systems programming, and AI infrastructure. Focus on designing distributed platform architecture, diagnosing complex production failures, and building compliance-ready services across AWS, Azure, and GCP.
Location: United States
Salary: $140,000–$215,000 USD per year when based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas.
Company
hirify.global delivers a cloud-native distributed SQL database that unifies transactions and analytics for real-time, data-intensive applications. The company is venture-backed and headquartered in San Francisco, with offices in the United States, United Kingdom, Portugal, India, Ireland, and Ukraine.
What you will do
Architect, implement, and scale multi-tenant Kubernetes operators, custom controllers, and orchestration workflows for thousands of customer database clusters.
Develop performant, fault-tolerant backend services and cloud control planes using Go and Python.
Design cross-cloud networking, ingress and egress controls, multi-region routing, VPC peering, PrivateLink topologies, DNS architectures, and service mesh performance across AWS, Azure, and GCP.
Build compute, vector indexing, caching, storage, and ingestion infrastructure for real-time GenAI and vector workloads.
Diagnose complex production failures, performance bottlenecks, kernel and networking anomalies, and other Tier-3 escalations, dedicating approximately 10–20% of bandwidth to operational support.
Author RFCs and ADRs, mentor senior engineers, lead cross-functional reviews, and align roadmap priorities with Product and SRE teams while maintaining controls for SOC 2 Type II, ISO 27001, HIPAA, and PCI-DSS environments.
Requirements
8–12+ years of professional software engineering experience designing, deploying, and operating distributed enterprise SaaS platforms at scale.
Hands-on mastery of Kubernetes internals, CRDs, custom controller development using client-go or controller-runtime, scheduling dynamics, and container networking and runtime internals.
Expert proficiency in Go and Python, including concurrent programming, low-latency I/O, and distributed state management.
Deep operational knowledge of cloud networking constructs, including Transit Gateways, DirectConnect or ExpressRoute, Private Service Connect, CIDR subnetting, mTLS, and load balancing.
Practical familiarity with compute, caching, and storage dynamics for real-time AI/ML pipelines, retrieval-augmented generation, and vector embeddings.
Proven ability to debug complex, non-deterministic production bugs across network layers, memory allocations, and distributed consensus.
Outstanding written and oral communication skills, with experience driving cross-team alignment and influencing executive-level technical strategy.
Nice to have
Experience building managed database-as-a-service or data-intensive streaming infrastructure.
Active open-source contributions within the CNCF or cloud-native container ecosystem.
Familiarity with Terraform, Pulumi, or Crossplane.
Culture & Benefits
Work with diverse teams and a diverse range of people.
Roles are offered across a variety of locations in the United States.
Total compensation may include merit increases and annual bonuses for eligible roles.
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