Platform Engineer
1 week ago
Bold Experience is hiring now for a position in platform engineering that specializes in backend and devOps.
we need someone who can take ownership of cloud infrastructure, CI/CD pipelines, and monitoring, while also contributing to backend development when needed.
This is a hybrid role:
- Primary: DevOps Engineering
- Secondary: Backend Development
You'll work across infrastructure automation, developer experience, and application-level problem solving.
What You'll Do
Infrastructure & Cloud (Primary Focus)
- Design, implement, and manage cloud infrastructure across GCP, Azure, and Alibaba Cloud.
- Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, and Azure DevOps. Automate infrastructure with Terraform (IaC).
- Manage Kubernetes environments (AKS, EKS, GKE, Cloud Run, Container Apps). Set up monitoring, alerting, and observability with Prometheus & Grafana.
- Optimize infrastructure for scalability, performance, and cost efficiency. Apply security best practices to deployments and workloads.
- Participate in incident response and on-call support.
Backend Development (Secondary Focus)
- Contribute to backend services in Python and TypeScript.
- Build automation tools, APIs, and internal services supporting infrastructure workflows.
- Debug and optimize backend systems in production.
- Collaborate with the backend team on architecture decisions.
What We're Looking For
- 4+ years of professional experience in DevOps Engineering and Backend Development.
- Strong hands-on expertise with at least one major cloud provider (GCP, Azure, or Alibaba Cloud).
- Production experience with Docker & Kubernetes.
- Proficiency with Terraform (Infrastructure as Code).
- CI/CD experience (GitHub Actions, GitLab CI, Azure DevOps).
- Monitoring and logging expertise (Prometheus, Grafana; ELK or others are a plus).
- Strong coding skills in Python and/or TypeScript. Solid understanding of SQL and NoSQL databases.
- Knowledge of cloud and backend security best practices.
- Strong problem-solving and debugging skills, comfortable working in production environments.
- Excellent communication skills and ability to collaborate across teams.
Nice-to-Haves
- Exposure to machine learning model deployment.
- Experience with multi-cloud or hybrid cloud setups.
- Certifications (e.g., GCP Professional Cloud Engineer, CKA, Azure DevOps Engineer). Prior startup/scale-up experience.
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