DevOps Engineer

Evlo AI; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

Evlo AI seeks an experienced DevOps/SRE to own production cloud infrastructure across AWS or GCP, focusing on reliability, scalability, and security for real-time data pipelines. You will collaborate with backend and platform engineers to build robust CI/CD pipelines and resilient environments.

The role emphasizes Terraform/CloudFormation, Kubernetes management, and strong scripting in Python/Bash/Go, with on-call responsibilities and continuous improvement of security and compliance across all

Qualifications

• 3-6 years of experience in DevOps, Site Reliability Engineering, or a closely related infrastructure role.
• Strong proficiency in Infrastructure as Code (Terraform, CloudFormation) and configuration management tools.
• Hands-on experience with containerization technologies and orchestration platforms, specifically Docker and Kubernetes.
• Solid scripting skills in Python, Bash, or Go for automation and tooling development.
• Deep understanding of networking fundamentals, TCP/IP, DNS, TLS, and VPC architecture in cloud environments.
• Bonus: Experience with service mesh technologies (Istio, Linkerd), eBPF observability tools, or FinOps cost optimization practices.

Responsibilities

• Design, provision, and manage production cloud infrastructure on AWS or GCP using Infrastructure as Code tools such as Terraform
• Build and maintain automated CI/CD deployment pipelines using GitHub Actions, GitLab CI, or ArgoCD to streamline releases
• Manage Kubernetes clusters in production, ensuring optimal resource utilization, auto-scaling, and high availability
• Implement comprehensive observability stacks using Prometheus, Grafana, and Datadog for real-time monitoring and incident alerting
• Conduct security audits, manage IAM policies, and enforce compliance standards across all infrastructure layers
• Participate in an on-call rotation to troubleshoot and resolve infrastructure incidents, performing root cause analysis for system failures

Skills

Terraform

CloudFormation

Docker

Kubernetes

Python

Bash

Go

Networking

SRE

Tools

Terraform

CloudFormation

Docker

Kubernetes

Job description

About The Role

The role owns the reliability, scalability, and security of core cloud infrastructure supporting high-volume microservices and real-time data pipelines.

About The Role

The role owns the reliability, scalability, and security of core cloud infrastructure supporting high-volume microservices and real-time data pipelines. The team works closely with backend and platform engineers to build robust CI/CD pipelines, automated monitoring systems, and resilient distributed environments.

Key Responsibilities

• Design, provision, and manage production cloud infrastructure on AWS or GCP using Infrastructure as Code tools such as Terraform
• Build and maintain automated CI/CD deployment pipelines using GitHub Actions, GitLab CI, or ArgoCD to streamline releases
• Manage Kubernetes clusters in production, ensuring optimal resource utilization, auto-scaling, and high availability
• Implement comprehensive observability stacks using Prometheus, Grafana, and Datadog for real-time monitoring and incident alerting
• Conduct security audits, manage IAM policies, and enforce compliance standards across all infrastructure layers
• Participate in an on-call rotation to troubleshoot and resolve infrastructure incidents, performing root cause analysis for system failures

What We Are Looking For

• 3-6 years of experience in DevOps, Site Reliability Engineering, or a closely related infrastructure role
• Strong proficiency in Infrastructure as Code (Terraform, CloudFormation) and configuration management tools
• Hands-on experience with containerization technologies and orchestration platforms, specifically Docker and Kubernetes
• Solid scripting skills in Python, Bash, or Go for automation and tooling development
• Deep understanding of networking fundamentals, TCP/IP, DNS, TLS, and VPC architecture in cloud environments
• Bonus: Experience with service mesh technologies (Istio, Linkerd), eBPF observability tools, or FinOps cost optimization practices