{bc}
lever

Site Reliability Engineer - SRE

Drivetrain
Remote, USA
Full-time
Mid · 5+ years experience
Remote
Discovered 1 weeks ago
awsdockereksgcpgrafanakubernetes

Full Job Posting

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 across both platforms.
  • Advanced Kubernetes Orchestration: Lead the design, deployment, and management of scalable Kubernetes clusters. Utilize configuration management tools like Kustomize to enforce standardized, repeatable, and automated deployment configurations across all environments.
  • Service Mesh & Security Integration: 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.
  • CI/CD & Automation
  • Pipeline Engineering: Architect, maintain, and optimize robust CI/CD pipelines using Git and Jenkins. Focus on reducing deployment friction, accelerating release velocity, and enforcing automated testing and security gates.
  • Infrastructure as Code (IaC): Treat infrastructure as software. Write, review, and maintain Terraform modules to provision and manage cloud resources predictably and safely.
  • Operational Automation: Aggressively reduce operational toil. Develop robust Python scripts and tooling to automate routine maintenance, data backups, scaling operations, and system recovery processes.
  • Observability & Reliability
  • Comprehensive Monitoring: Design and enhance our observability stack to provide deep, real-time insights into system health. Manage and scale tools including Prometheus, Grafana, ELK/EFK stack, AWS CloudWatch, and GCP Operations Suite.
  • Reliability Engineering: Spearhead reliability initiatives critical to a scaling SaaS platform. Drive rigorous capacity planning exercises to stay ahead of growth.
  • Incident Management & SLOs: Own the incident response lifecycle. Facilitate blameless postmortems to extract actionable learnings. Define, track, and enforce SLIs, SLOs, and SLAs, ensuring the platform consistently meets its reliability guarantees.
  • Collaboration & Leadership
  • DevOps Culture: Act as an embedded reliability advocate. Collaborate closely with software engineers early in the development lifecycle to ensure applications are designed for deployability, scalability, and resilience.
  • Continuous Improvement: Proactively identify system bottlenecks and architectural weaknesses. Contribute to process improvements, build internal developer tooling, and maintain comprehensive documentation to elevate team productivity and system understanding.

Required Proficiency & Qualifications

Experience: 5+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles, preferably within a fast-paced SaaS environment.

Cloud Platforms: Deep, proven proficiency in AWS (EC2, EKS, RDS, VPC, IAM, S3) AND GCP (GKE, Compute Engine, Cloud SQL, IAM, Cloud Storage). Ability to navigate and optimize multi-cloud architectures.

Containerization: Expert-level knowledge of Docker and Kubernetes, including advanced deployment strategies and lifecycle management.

Automation/IaC: Strong programming skills in Python and extensive experience with Terraform.

Observability: Hands-on expertise building dashboards and alerting systems using Prometheus, Grafana, and log aggregation stacks (ELK/EFK).

Networking & Security: Solid understanding of cloud networking (VPC peering, load balancing, DNS) and zero-trust security principles in a containerized environment.

Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!

Qualifications

  • 5+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles, preferably within a fast-paced SaaS environment.
  • Cloud Platforms: Deep, proven proficiency in AWS (EC2, EKS, RDS, VPC, IAM, S3) AND GCP (GKE, Compute Engine, Cloud SQL, IAM, Cloud Storage). Ability to navigate and optimize multi-cloud architectures.
  • Containerization: Expert-level knowledge of Docker and Kubernetes, including advanced deployment strategies and lifecycle management.
  • Automation/IaC: Strong programming skills in Python and extensive experience with Terraform.
  • Observability: Hands-on expertise building dashboards and alerting systems using Prometheus, Grafana, and log aggregation stacks (ELK/EFK).
  • Networking & Security: Solid understanding of cloud networking (VPC peering, load balancing, DNS) and zero-trust security principles in a containerized environment.
  • Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Drivetrain