
Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably. Headquartered in the San Francisco Bay Area and founded in 2021 by ex-Googlers, we are a fast-growing, remote-first company backed by leading venture capital firms.
As a Senior Site Reliability Engineer at Drivetrain, you will be a cornerstone of our engineering organization, ensuring our fast-growing SaaS platform remains highly available, performant, and secure. You will take ownership of our multi-cloud infrastructure, drive automation, champion observability, and collaborate closely with development teams.
Key Responsibilities
Cloud Infrastructure & Orchestration
- Multi-Cloud Management: Architect, manage, and continuously optimize highly available cloud infrastructure across both AWS and GCP. Balance workload demands to ensure maximum cost-efficiency, scalability, and strict security compliance.
- Advanced Kubernetes Orchestration: Lead the design, deployment, and management of scalable Kubernetes clusters using tools like Kustomize to enforce standardized configurations.
- Service Mesh & Security Integration: Implement and maintain service mesh technologies (e.g., Istio, Linkerd) and drive container security best practices including image scanning and RBAC enforcement.
CI/CD & Automation
- Pipeline Engineering: Architect and optimize robust CI/CD pipelines using Git and Jenkins to accelerate release velocity.
- Infrastructure as Code (IaC): Write, review, and maintain Terraform modules to provision cloud resources predictably.
- Operational Automation: Develop robust Python scripts and tooling to automate routine maintenance, data backups, scaling, and system recovery.
Observability & Reliability
- Comprehensive Monitoring: Manage and scale tools including Prometheus, Grafana, ELK/EFK stack, AWS CloudWatch, and GCP Operations Suite.
- Incident Management & SLOs: Own the incident response lifecycle, facilitate blameless postmortems, and define SLIs, SLOs, and SLAs.
Collaboration & Leadership
- DevOps Culture: Collaborate with software engineers to ensure applications are designed for deployability, scalability, and resilience.
- Continuous Improvement: Identify system bottlenecks, build developer tooling, and maintain comprehensive documentation.
Required Qualifications
- Experience: 5+ years of hands-on experience in SRE, DevOps, or Cloud Infrastructure within a fast-paced SaaS environment.
- Cloud Platforms: Proven proficiency in AWS (EC2, EKS, RDS, VPC, IAM, S3) and GCP (GKE, Compute Engine, Cloud SQL, IAM, Cloud Storage).
- Containerization: Expert-level knowledge of Docker and Kubernetes.
- Automation/IaC: Strong programming skills in Python and extensive experience with Terraform.
- Observability: Hands-on expertise with Prometheus, Grafana, and log aggregation stacks (ELK/EFK).
- Networking & Security: Solid understanding of cloud networking and zero-trust security principles.
Timezone overlap
UTC-8β-4
Open to
US
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