Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Большая ответственностьАктуальный стекПонятная рольИИ в инженерииБюджет на обучение
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Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps / Platform Engineer (f/m/x) (AWS): Building and operating a scalable, secure cloud platform for a high-traffic mobile gaming adtech solution with an accent on AWS infrastructure, Kubernetes, CI/CD, observability, and production reliability. Focus on designing disaster recovery, solving distributed-system incidents, improving developer workflows, and integrating AI into operational runbooks.
Location: Hamburg, Germany; flexible hybrid model with work from home on Mondays and Fridays and office work on Tuesdays, Wednesdays, and Thursdays.
Company
hirify.global operates a rewarded user engagement and acquisition platform for mobile gaming, helping players discover games and gaming studios create lasting value.
What you will do
Operate the platform infrastructure across AWS multi-account and multi-region environments, including EKS, RDS, S3, Lambda, Kafka, and RabbitMQ.
Build and maintain Terraform infrastructure, Helm deployments, complex GitLab CI pipelines, and developer tooling.
Troubleshoot distributed systems, apply SRE principles, perform root cause analysis, and improve production reliability.
Design backup and disaster recovery strategies for stateless and stateful services.
Develop observability with Prometheus, Loki, Datadog, and OpenTelemetry, and respond to production incidents.
Collaborate with developers, data engineers, stakeholders, and DevOps colleagues while sharing knowledge and improving operational workflows.
Requirements
5+ years of hands-on experience in DevOps, SRE, or platform engineering.
Strong AWS experience at scale, including IAM, networking, security best practices, and balancing cost, performance, and simplicity.
Fluency in infrastructure as code, preferably Terraform or a similar tool, with experience building clean, modular, and scalable infrastructure.
Production Kubernetes experience, including EKS, workload security, and day-2 operations.
Experience building modern CI/CD pipelines with GitLab CI or ArgoCD, with attention to developer experience.
Proficiency in Python, Go, or Bash for automation, tooling, and engineering workflow optimization.
Hands-on observability experience, preferably Datadog in production, together with Prometheus, OpenTelemetry, or Loki; experience applying SLIs and SLOs and handling incidents.
Clear communication, strong documentation skills, sound technical reasoning, curiosity, and a willingness to challenge the status quo.
Experience integrating AI tools into engineering and operational tasks, including incident alerts, infrastructure setup, and automated runbooks, with an understanding of agent context, tooling, and safe boundaries.
Culture & Benefits
Fast-paced, focused environment emphasizing speed, ownership, direct communication, and practical improvements.
Collaborative culture based on respect, trust, accountability, and solving problems proactively.
Transport subsidy, learning budget, wellness and gym benefits, and workation.
Bi-weekly team lunches and a flexible hybrid work model in Hamburg.
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