高级基础设施工程师

This Senior Infrastructure Engineer role is designed for a highly autonomous professional passionate about cloud infrastructure, open-source ecosystems, and scalable engineering practices. You will lead infrastructure initiatives across multi-cloud environments while contributing to the design, implementation, and long-term sustainability of reliable systems for both internal operations and client-facing projects. The position combines hands-on technical execution with architectural leadership, requiring strong expertise in automation, observability, Kubernetes, and Infrastructure as Code. You will also collaborate closely with globally distributed engineering teams and contribute actively to open-source communities. The role offers the opportunity to work on modern cloud-native platforms, support data-intensive environments, and help organizations adopt scalable and maintainable infrastructure solutions.

5+ years of experience in Infrastructure Engineering, DevOps, Platform Engineering, or related fields. Strong experience working with at least two major cloud providers among AWS, Azure, and GCP, with familiarity across all three. Advanced expertise in Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation. Hands-on experience with Kubernetes, container orchestration, and Helm chart development. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI/CD, CircleCI, or similar tools. Strong knowledge of observability, monitoring, and logging solutions including Prometheus, Grafana, and ELK/OpenSearch stacks. Proficiency in Python or another scripting/programming language for automation and tooling. Experience with cloud security best practices including IAM, RBAC, secrets management, and secure pipelines. Strong understanding of Git, GitHub workflows, and remote asynchronous collaboration practices. Proven experience working directly with clients, translating technical requirements into scalable infrastructure solutions. Active open-source contributor or maintainer experience is strongly preferred.

Fully remote work environment with global collaboration opportunities. Competitive compensation package based on experience and location. Performance-based bonus opportunities. Comprehensive health and benefits package where applicable. Flexible work schedules with emphasis on work-life balance. Generous paid time off, sick leave, and parental leave policies. Opportunity to contribute directly to influential open-source projects and communities. Access to highly collaborative, transparent, and innovation-driven engineering culture. Exposure to cutting-edge cloud, AI/ML, and infrastructure technologies. Strong focus on professional growth, learning, and technical ownership.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.