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У роли четкий фокус на платформенной инженерии, серьезная и актуальная ответственность за инфраструктуру и связь с быстрорастущим направлением AI security; при этом формат стартапа и дежурства добавляют неопределенности.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Engineer (AI Security): Building and operating MongoDB, BigQuery, Kubernetes, and cloud infrastructure that processes billions of security events daily with an accent on database scaling, observability, and infrastructure automation. Focus on designing sharding strategies, operating multi-tenant clusters, and improving reliability across Azure and Google Cloud.
Location: Palo Alto, CA, United States
Company
hirify.global builds AURI, an AI security platform that protects code generated by coding agents through code context analysis, infrastructure controls, and actionable vulnerability remediation. The company serves customers including OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood, and Peloton.
What you will do
Own MongoDB and BigQuery operations from initial design and provisioning through monitoring, performance tuning, access management, and incident response.
Design and execute MongoDB sharding strategies, including shard keys, zone placement, and chunk rebalancing.
Build telemetry with metrics, logging, and tracing across MongoDB, BigQuery, and the wider infrastructure.
Design, deploy, and operate Azure and Google Cloud infrastructure processing billions of security events daily.
Operate Kubernetes and CNCF-based infrastructure, including resilient multi-tenant clusters and ArgoCD workflows.
Build Terraform/OpenTofu modules and collaborate with Security, Backend, and Product Engineering.
Requirements
4+ years of production MongoDB experience, including MongoDB Atlas, sharding, replica set design, index strategy, backup and restore, and full cluster lifecycle ownership.
Experience redesigning shard keys, rebalancing chunks, or re-architecting zone placement on a growing MongoDB cluster.
5+ years of Site Reliability Engineering or Platform Engineering experience building and operating production infrastructure, including on-call and critical incident response.
Production Kubernetes and CNCF ecosystem experience, including debugging multi-cluster networking issues.
Experience with at least one major cloud provider: Azure, Google Cloud, or AWS, in that order of preference.
Experience with Terraform, OpenTofu, or Terragrunt, including reusable modules and state management at scale.
Hands-on Prometheus and Grafana experience, including designing SLIs, SLOs, and operational dashboards.
Ability to explain technical tradeoffs to technical and non-technical audiences and document decisions.
Nice to have
MongoDB Atlas capabilities such as Atlas Search, Provisioned Throughput, or the Atlas Admin API, or custom tooling for platform monitoring.
Infrastructure experience for large monorepos, including build optimization and caching with Bazel, Nx, or similar tools.
GitOps implementation experience with ArgoCD or Flux.
Experience building secure infrastructure and addressing SOC 2 and GDPR compliance requirements.
Infrastructure cost and performance optimization experience.
GitHub Actions experience for CI/CD pipelines and familiarity with Bazel for monorepo builds.
Culture & Benefits
Work at the intersection of developer productivity, AI, and software security.
Culture focused on ownership, customer success, data-driven decisions, simplicity, kindness, and candor.
Inclusive equal-opportunity workplace that values diverse perspectives, transferable skills, and continuous learning.
Infrastructure improvements are shipped weekly while balancing speed and reliability.
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