Чёткая зона ответственности на senior-уровне, подробно описанная платформа и работа в сфере AI-инфраструктуры делают вакансию сильной, хотя широкий охват задач и дежурства добавляют серьёзную нагрузку.
Дежурства
?Широкая зона ответственности
Современный стек
AI-инфраструктура
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Developer Experience Engineer (AI Infrastructure Operations): Own and evolve the GitHub, GitOps, CI/CD, developer portal, build, release, and change automation platform used to move software safely into production with an accent on Kubernetes, multi-cluster delivery, reproducible builds, and developer adoption. Focus on designing reliable delivery systems, automating compliance evidence and approvals, solving complex platform incidents, and improving SLOs, deployment performance, and rollback capability.
Location: Houston, New York, San Francisco, or Seattle, United States
Salary: $170,000–$265,000 USD per year, plus potential bonus and equity.
Company
Nscale provides GPU cloud infrastructure for AI-native startups and global enterprises, from bare metal through platform services.
What you will do
Own the delivery platform from pull request to production, including roadmap, architecture, golden paths, repository and workflow templates, release conventions, and deployment standards.
Own the internal developer portal, service catalog, software templates, documentation, adoption metrics, and ownership data.
Set technical direction for GitOps across Argo CD and Flux, including multi-cluster promotion and drift detection.
Own build and release performance, remote caching, container and base image builds, artifact registry design, versioning, promotion, and runner capacity and cost.
Design local and ephemeral test environments, automate change management with Jira Service Management, and integrate evidence, risk tiering, and approvals into delivery pipelines.
Set delivery-platform SLOs and SLIs, lead major incidents and root-cause improvements, mentor engineers, and influence engineering-wide architecture and tooling decisions.
Requirements
6–10 years of experience in platform engineering, SRE, DevOps, or software engineering, including ownership of CI/CD or deployment systems used by multiple engineering teams.
Strong software engineering skills in Python, Go, or a similar language.
Deep organization-scale GitHub experience, including Actions, self-hosted runners, rulesets, permissions, and governance.
Experience with GitOps tooling such as Argo CD or Flux on Kubernetes.
Experience automating change management or release approvals through a ticketing system, ideally Jira Service Management.
Strong knowledge of Kubernetes, Linux, networking, distributed systems, secrets and identity in pipelines, Vault, short-lived credentials, OIDC, artifacts, and software supply chains.
Experience owning build and release systems at scale, including performance, reproducibility, caching, versioning, promotion, runner fleets, cost, and artifact registries.
Experience designing and operating an internal developer platform and developer portal such as Backstage, and driving adoption across engineering teams.
Ability to act as a trusted senior voice in design reviews and incidents, make decisions under pressure, mentor others, and raise engineering quality.
Nice to have
Local cloud emulation such as LocalStack and ephemeral or preview environments.
Policy as code with OPA or Kyverno, Terraform automation, SBOMs, image signing, and related supply-chain practices.
Experience with AI or GPU workloads, high-performance computing, or bare-metal environments.
Culture & Benefits
Ownership, accountability, speed, direct influence over how software reaches production, and trust to shape the working day.
On-call rotation for the delivery platform, with shared load and a focus on reducing operational noise over time.
Competitive base salary plus equity, reviewed every 12 months.
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