DevOps Cloud Engineer
Own and automate AWS cloud infrastructure for SaaS portals and IoT products, using Terraform, Kubernetes, and CI/CD pipelines to ensure secure, scalable, and reliable operations.
- Compensation
- Not disclosed
- Location
- MIDDLETON, WI, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 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).
- Hands-on experience with infrastructure as code (Terraform and/or CloudFormation).
- Strong understanding of Linux administration, Docker, Kubernetes, and virtualization.
- Experience building and maintaining CI/CD pipelines and release automation.
- Proficiency in scripting and automation with Python and Bash.
- Working knowledge of relational databases (MySQL, SQL Server), including backups, replication, and performance basics.
- Solid grasp of networking fundamentals (DNS, load balancing, TLS, VPNs, firewalls).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong verbal and written communication abilities.
Nice to have
- 5+ years of experience in DevOps, cloud engineering, or infrastructure roles.
- AWS certifications (e.g., Solutions Architect, DevOps Engineer).
- Experience supporting IoT ecosystems, device fleets, or home automation products.
- Familiarity with application stacks such as Python, PHP, NodeJS, or C#/.NET, sufficient to support and troubleshoot deployments.
- Experience with observability platforms (Grafana, Prometheus, Datadog, ELK).
- Knowledge of Agile/Scrum methodologies and project management principles.
Full description
Description
The Best Experience Company: Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you’re excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
Position Summary:
We are seeking a DevOps Cloud Engineer to join our dynamic team and own the cloud infrastructure, automation, and reliability behind our web portals and SaaS solutions! The ideal candidate is passionate about IoT and Home Automation products, thrives on automating everything, and has a proven track record of building and operating secure, scalable cloud platforms. This role combines infrastructure architecture, CI/CD pipeline engineering, platform reliability, and hands-on development in a cloud-first environment, leveraging AWS services.
Key Responsibilities:Cloud Infrastructure & Architecture:
- Design, build, and operate secure, scalable AWS infrastructure supporting web portals, SaaS platforms, and IoT device fleets.
- Manage infrastructure as code using Terraform and AWS CloudFormation, with version-controlled, peer-reviewed changes.
- Architect for high availability, fault tolerance, cost optimization, and disaster recovery, including backup and restore strategies.
- Administer core AWS services such as EC2, ECS/Fargate, S3, RDS, Lambda, VPC, IAM, Route 53, and CloudFront.
CI/CD & Automation:
- Build and maintain CI/CD pipelines for application and infrastructure deployments (e.g., GitHub Actions, GitLab CI, AWS CodePipeline).
- Drive automation of build, test, deployment, and rollback processes to enable frequent, low-risk releases.
- Standardize containerization with Docker and orchestration with Kubernetes or ECS across environments.
- Develop automation scripts and internal tooling in Python and Bash.
Monitoring, Reliability & Performance:
- Implement monitoring, logging, and alerting using AWS CloudWatch and related observability tools (e.g., Grafana, Prometheus, Datadog).
- Define and track SLOs/SLIs; lead incident response, root cause analysis, and post-incident reviews.
- Continuously tune performance and right-size infrastructure to balance reliability and cost.