Senior Cloud Engineer
Team: Engineering
Location: United States
Commitment: Full Time
Workplace Type: remote
Salary:
What You Will Do
- Architect and Manage Cloud Infrastructure: Design, deploy, and maintain highly available and scalable environments within GCP.
- Infrastructure as Code (IaC): Drive the adoption of Terraform to manage all infrastructure through code, ensuring environment consistency and version control.
- Cloud Operations & Monitoring: Expand the observability capabilities of the platform and own the day-to-day health of production environments.
- Collaborative DevOps: Partner closely with engineers to improve the developer experience, assisting with containerization (Docker/K8s) and deployment strategies.
- CI/CD Automation: Build and optimize robust CI/CD pipelines to streamline application delivery, integrating automated testing and deployment gates.
- Secure Infrastructure Design: Partner with security engineering to implement cloud hardening standards, IAM architecture and policies, secrets management, and overall Cloud infrastructure and security best practices.
- Performance Optimization: Analyze cloud spend and resource utilization to optimize for cost and performance across all environments.
- Automated Remediation: Develop scripts and playbooks to automate routine operational tasks and self-healing infrastructure.
What You Will Need to be Successful
- 5+ years of hands-on experience in a Cloud Engineering, SRE, or DevOps role, preferably within a cloud-native SaaS, startup environment.
- Public Cloud Expertise: Strong proficiency in managing public cloud environments, with a primary focus on Google Cloud Platform (GCP).
- Automation Mindset: Proven experience with Terraform, Ansible, or Pulumi for infrastructure automation.
- Cloud Operations Expertise: Demonstrated experience managing production workloads at scale, including log aggregation, proactive alerting, and incident response.
- Operational Mindset: A safety-first approach to changes, with experience in canary deployments, blue-green releases, and automated rollbacks.
- Containerization: Solid understanding of Docker and orchestration platforms like Kubernetes (GKE).
- Pipeline Experience: Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins).
- Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) to automate manual processes.
- Collaborative Problem-Solver: Ability to work across Engineering, Security, and Product teams to translate business requirements into technical architecture.
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