Site Reliability Engineer - SRE

Overview

Senior Site Reliability Engineer at Drivetrain, a remote-first financial planning and decision-making SaaS platform, responsible for keeping the platform highly available, performant and secure as it scales.

What you'll do

• Architect, manage and continuously optimize highly available cloud infrastructure across AWS and GCP, balancing cost-efficiency, scalability and security compliance.
• Lead the design, deployment and management of scalable Kubernetes clusters, using configuration management tools such as Kustomize to standardize deployments.
• Implement and maintain service mesh technologies (e.g., Istio, Linkerd) to secure, control and observe service-to-service communication.
• Drive container security best practices, including image scanning, runtime protection and strict RBAC enforcement.
• Architect, maintain and optimize CI/CD pipelines using Git and Jenkins, reducing deployment friction and enforcing automated testing and security gates.
• Write, review and maintain Terraform modules to provision and manage cloud resources.
• Develop Python scripts and tooling to automate routine maintenance, data backups, scaling operations and system recovery.
• Design and enhance the observability stack, managing and scaling Prometheus, Grafana, ELK/EFK, AWS CloudWatch and GCP Operations Suite.
• Drive capacity planning exercises and reliability initiatives for the scaling SaaS platform.
• Own the incident response lifecycle, facilitate blameless postmortems, and define, track and enforce SLIs, SLOs and SLAs.
• Collaborate with software engineers early in the development lifecycle to ensure applications are designed for deployability, scalability and resilience.
• Identify system bottlenecks and architectural weaknesses, build internal developer tooling and maintain comprehensive documentation.

What you'll need

• 5+ years of hands-on experience in Site Reliability Engineering, DevOps or Cloud Infrastructure roles, preferably in a fast-paced SaaS environment.
• Deep, proven proficiency in AWS (EC2, EKS, RDS, VPC, IAM, S3) and GCP (GKE, Compute Engine, Cloud SQL, IAM, Cloud Storage), including navigating and optimizing multi-cloud architectures.
• Expert-level knowledge of Docker and Kubernetes, including advanced deployment strategies and lifecycle management.
• Strong programming skills in Python and extensive experience with Terraform.
• Hands-on expertise building dashboards and alerting systems using Prometheus, Grafana and log aggregation stacks (ELK/EFK).
• Solid understanding of cloud networking (VPC peering, load balancing, DNS) and zero-trust security principles in a containerized environment.

Details

• Remote-first role; company headquartered in the San Francisco Bay Area.