About the role

Role Overview

Site Reliability Engineer responsible for the reliability, scalability, and performance of critical cloud-native production platforms. You will build automation to reduce operational toil, define and monitor SLOs/SLIs, and architect resilient systems in collaboration with product development teams.

Responsibilities

Design, provision, and maintain secure, multi-region cloud infrastructure using Terraform and cloud services (AWS-heavy)
Build and optimize container orchestration using Kubernetes (EKS), including ingress controllers, service meshes, and autoscaling policies
Establish observability pipelines with Prometheus, Grafana, Jaeger, and the ELK stack to monitor health and latency
Lead incident response and run blameless post-mortems; implement durable mitigations for systemic failures
Develop and maintain automated CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins for continuous, zero-downtime deployments
Automate operational tasks (toil) by writing infrastructure tooling in Go, Python, or Bash

Requirements

3–6 years in SRE/DevOps/systems engineering managing high-traffic production environments
Strong Infrastructure as Code (IaC) experience, especially Terraform, plus cloud platforms like AWS or GCP
Deep expertise in containerization and production-grade Kubernetes administration (Docker/Kubernetes)
Proficiency in at least one development language for automation, preferably Go, Python, or Ruby
Solid networking knowledge (DNS, TCP/IP, HTTP/S, VPCs, load balancing) and Linux operating system internals

Nice to Have

Service mesh experience (Istio/Linkerd)
GitOps workflows (e.g., ArgoCD)
Multi-cloud or cloud certifications (AWS Certified Solutions Architect, CKA)

About Evlo AI

Evlo AI builds and operates cloud-native platforms that require high reliability, scalability, and performance. The role focuses on ensuring production systems can handle large-scale transaction volumes through modern DevOps and SRE practices.