Cloud DevOps Engineer for SaaS & IoT

Springs Window Fashions; Town of Middleton (WI); On-site; USD 110,000 - 150,000; Full time

Job summary

Springs Window Fashions is seeking a DevOps Cloud Engineer to own cloud infrastructure, automation, and reliability for our web portals and SaaS solutions. The ideal candidate loves automating everything and has a track record of building scalable, secure cloud platforms in a cloud-first environment.

The role emphasizes infrastructure as code, CI/CD, and monitoring using AWS services. Collaboration with engineering teams will drive standardized, observable deployments across environments.

Qualifications

• Bachelor's degree or equivalent in Computer Science or related field, or equivalent practical experience.
• Proven experience in a DevOps, Cloud, or Site Reliability Engineering role supporting production SaaS environments.
• Strong expertise in AWS cloud services and architecture (EC2, S3, Fargate/ECS, RDS, Lambda, VPC, IAM).

Responsibilities

• Own cloud infrastructure, automation, and reliability for web portals and SaaS platforms.
• Build and maintain CI/CD pipelines across applications and infrastructure deployments.
• Drive infrastructure as code practices with Terraform and CloudFormation, ensuring security and compliance.
• Collaborate with software engineers to improve deployability, observability, and release practices.

Skills

AWS

CI/CD

SRE

Cloud architecture

Automation

Python

Bash

Linux

Security

Education

Bachelor's degree in CS or related field

Tools

Terraform

CloudFormation

Docker

Kubernetes

GitHub Actions

Git

Datadog

Grafana

Job description

Springs Window Fashions is seeking a DevOps Cloud Engineer to own cloud infrastructure, automation, and reliability for our web portals and SaaS solutions. The ideal candidate loves automating everything and has a track record of building scalable, secure cloud platforms in a cloud-first environment.

The role emphasizes infrastructure as code, CI/CD, and monitoring using AWS services. Collaboration with engineering teams will drive standardized, observable deployments across environments.