Site Reliability Engineer - SRE
Key Skills for This Role
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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!
About Drivetrain
AI-native financial planning and analysis software that automates forecasting, scenario modeling, and reporting for finance teams to make faster strategic decisions.
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