Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Infrastructure Software Engineer, Apps Platform (Kubernetes/Terraform/Docker): Building cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments with an accent on secure, reproducible delivery and multi-cloud architecture. Focus on designing deployment pipelines, improving production observability, leading architecture reviews, and solving complex reliability and security issues.
Location: London, UK
Company
hirify.global develops reliable AI systems, high-quality data, and full-stack technologies for AI applications used by enterprises and governments.
What you will do
Expand platform deployments across on-premises environments and major cloud providers.
Build fast, secure, and reproducible deployment pipelines across supported environments.
Improve platform observability so infrastructure teams can operate customer deployments efficiently.
Partner with internal platform users, debug deployment issues, and build supporting tooling.
Respond to production incidents, perform root cause analysis, and implement preventive fixes.
Lead architecture reviews and own projects from design through deployment while contributing to the deployment and observability roadmap.
Requirements
5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI, and on-premises environments.
Deep expertise in infrastructure design, networking, VPNs, load balancers, and firewalls.
Strong proficiency with infrastructure as code, containerization, and orchestration using Kubernetes, Terraform, and Docker.
Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI.
Experience with GitOps deployments, consistent release processes, production debugging, and performance and security trade-offs.
Ability to balance reactive incident response with proactive product development in ambiguous, cross-functional environments.
Nice to have
Founder or early-engineer experience at an infrastructure-focused startup with end-to-end product ownership.
Experience running secure workloads in multi-tenant or untrusted environments.
Open-source contributions to systems or developer-tools projects.
On-call and production incident-response experience.
Culture & Benefits
Work on AI infrastructure and applications serving enterprise and government use cases.
Collaborate with internal infrastructure teams and cross-functional partners.
Inclusive and equal-opportunity workplace with reasonable accommodation support.
Applications are handled under policies designed to protect personal data.
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