Infrastructure Engineer

Job not on LinkedIn

October 23

🌵 Arizona – Remote

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🏄 California – Remote

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+7 more states

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⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

Apply Now
Logo of ValidMind

ValidMind

ValidMind is a company whose publicly-available page returns only a "Loading... You need to enable JavaScript to run this app. " message, and no product, service, or industry information is accessible from the provided text. Because the site requires JavaScript and no additional details were provided, the company's focus, offerings, and target market cannot be reliably determined from the input.

11 - 50 employees

Founded 2022

📋 Description

• Design, deploy, and manage infrastructure using Docker, Kubernetes, and Terraform to support production and development environments. • Manage cloud infrastructure on a major provider, preferably AWS (experience with GCP or Azure also considered). • Implement monitoring and observability solutions using tools such as Datadog, Splunk, Prometheus, or Grafana to ensure system reliability and performance. • Collaborate closely with backend and fullstack engineers to support continuous integration, delivery, and deployment pipelines. • Participate in the on-call rotation, respond to incidents, and help drive post-incident reviews and reliability improvements. • Automate operational tasks using scripting languages such as Bash and Python. • Maintain and improve security and compliance practices within infrastructure and deployment processes. • Document infrastructure designs, processes, and procedures to promote transparency and knowledge sharing across the team.

🎯 Requirements

• 3+ years of professional experience in infrastructure, DevOps, or SRE roles. • Strong experience with containerization (Docker) and orchestration (Kubernetes) in production environments. • Proven experience with Terraform or other infrastructure-as-code tools. • Hands-on experience with AWS (EC2, ECS/EKS, S3, IAM, CloudWatch, etc.) or another major cloud platform. • Proficiency in monitoring and logging tools (e.g., Datadog, Splunk, Prometheus, ELK stack). • Comfortable writing automation scripts in Bash and Python. • Experience supporting CI/CD pipelines and deployment workflows. • Strong communication skills and ability to collaborate effectively with cross-functional teams. • Willingness to participate in an on-call rotation and help improve system reliability and response processes.

🏖️ Benefits

• Opportunity to have a direct impact on the stability and scalability of core systems. • Collaborative engineering culture with strong ownership and autonomy. • Exposure to a modern tech stack and opportunities for professional growth.

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