DevOps Engineer

Навыки

• AI-инструменты в работе
• ArgoCD / Flux
• AWS
• Bash / shell
• CI/CD
• Cloudflare
• Форензика и реагирование

Задачи

• Architect, automate, and scale our cloud infrastructure (AWS, Cloudflare)
• Build and manage CI/CD pipelines for rapid, reliable deployments Ensure system reliability, security, and observability across all environments
• Optimize performance, cost, and scalability of cloud resources
• Collaborate with backend and ML teams to deploy complex workloads efficiently
• Own the full DevOps lifecycle: infrastructure, deployment, monitoring, and incident response
• YOUR MUST HAVES
• Strong expertise in AWS, Python
• Experience with CI/CD tools (GitHub Actions, GitLab CI, ArgoCD)
• Strong Linux and networking fundamentals
• Knowledge of monitoring & alerting (Prometheus, VictoriaLogs/Metrics/Traces, Grafana)
• Strong skills Python/Bash/Go for automation and tooling
• Independent, able to lead complex infrastructure projects
• Willingness to work in a fast-paced startup environment (80+ hours per week)
• The deal
• Competitive salary in USD
• On-site role in Almaty office
• Full-time position
• WHY WORK AT HIGGSFIELD AI?

Требования

• Everyone at Higgsfield is an A-player. We're looking for teammates who bring
• Deep DevOps expertise, with a strong focus on cloud infrastructure and automation
• A systems thinker who can design resilient, scalable, and observable platform Readiness to thrive in a high-intensity startup environment, where priorities shi fast
• Passion for building highly available systems that support millions of users
• 3+ years of experience with DevOps / SRE roles
• Proven track record in infrastructure as code (Terraform)

Условия

• Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands
• We're building at the absolute frontier of AI-powered video creation and next-generation creative tools
• Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like

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