
Site Reliability Engineer – SRE
Posted 4 hours ago

Posted 4 hours ago
This is a fully remote position, open to applicants in United States.
• Ensure that Drivetrain's rapidly expanding SaaS platform remains highly available, efficient, and secure.
• Design, manage, and optimize a highly available multi-cloud infrastructure utilizing AWS and GCP.
• Balance the demands of workloads to achieve cost-effectiveness, scalability, and strict adherence to security compliance.
• Architect, deploy, and manage scalable Kubernetes clusters with the use of Kustomize.
• Implement and sustain service mesh technologies, including Istio or Linkerd.
• Promote container security practices, encompassing image scanning, runtime protection, and RBAC enforcement.
• Design, maintain, and optimize CI/CD pipelines using Git and Jenkins.
• Author, review, and maintain Terraform modules for cloud resource management.
• Develop Python tools to automate maintenance, backups, scaling, and system recovery.
• Create and enhance observability using Prometheus, Grafana, ELK/EFK, AWS CloudWatch, and GCP Operations Suite.
• Lead initiatives focused on reliability and capacity planning.
• Oversee incident response, facilitate blameless postmortems, and define as well as enforce SLIs, SLOs, and SLAs.
• Collaborate with software engineers to enhance deployability, scalability, and resilience.
• Identify bottlenecks, refine processes, develop internal developer tooling, and maintain documentation.
• Over 5 years of practical experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles.
• Experience in a fast-paced SaaS environment is preferred.
• In-depth, proven expertise in AWS, including EC2, EKS, RDS, VPC, IAM, and S3.
• In-depth, proven expertise in GCP, including GKE, Compute Engine, Cloud SQL, IAM, and Cloud Storage.
• Ability to navigate and optimize multi-cloud architectures effectively.
• Expert-level knowledge of Docker and Kubernetes, encompassing advanced deployment strategies and lifecycle management.
• Strong programming capabilities in Python.
• Extensive experience with Terraform.
• Hands-on expertise in creating dashboards and alerting systems using Prometheus, Grafana, and ELK/EFK log aggregation stacks.
• Solid understanding of cloud networking, including VPC peering, load balancing, and DNS.
• Familiarity with zero-trust security principles in a containerized environment.
• Remote-friendly work arrangement.
• Significant autonomy for employees.
• Culture that values openness and transparency.
• An environment that encourages ideas, experimentation, and learning.
• A customer-centric, product-led growth culture.
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