Senior Cloud Infrastructure Engineer (Contract Position)

Posted about 1 month agoViewed
United States, CanadaContractSoftware Development
Company:Pindrop
Location:United States, Canada, EST, PST
Languages:English
Seniority level:Senior, 5-7 years
Experience:5-7 years
Skills:
AWSPostgreSQLPythonSQLBashGCPKubernetesTypeScriptGrafanaPrometheusCI/CDLinuxDevOpsTerraformAnsible
Requirements:
5–7 years of experience in cloud engineering, DevOps, or SRE roles focused on AWS and GCP. Proven experience designing and operating large-scale, automated cloud services across multiple regions and zones. Hands-on experience with container orchestration platforms such as Kubernetes (GKE/EKS), and service mesh technologies. Strong background building, maintaining, and optimizing observability systems (metrics, logging, tracing). Experience implementing centralized logging pipelines for aggregation and storage of multi-source logs. Expertise in on-call operations, incident response, troubleshooting, and system administration. Proficiency with Terraform, Packer, Ansible, Helm, Flux/ArgoCD, Istio. Scripting skills in Python, Bash, and/or TypeScript. Strong hands-on experience with CI/CD ecosystems such as GitHub/GH Actions, Jenkins, JFrog, VMware, Prometheus, Grafana, etc. Experience with relational databases (PostgreSQL, MySQL), including designing HA systems and writing/debugging complex queries. Experience with distributed architectures and CI/CD best practices. Telephony infrastructure experience is a plus.
Responsibilities:
Design, document, build, maintain, and optimize large-scale, multi-cloud infrastructure and services. Own critical components of our SaaS platform operating in AWS and GCP. Manage, evolve, and optimize observability infrastructure, tooling, and processes. Analyze system performance, usability, and stability to identify and implement innovative improvements. Identify bottlenecks and manual or suboptimal processes; automate and operationalize them into highly reliable systems. Collaborate across multiple teams while managing concurrent assignments and promoting best practices. Mature operational processes from ad-hoc to well-optimized and well-documented. Improve scalability, cost efficiency, and stability of core cloud components.
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