Infrastructure Engineer
ValidMind is seeking a skilled Infrastructure Engineer to design, deploy, and maintain scalable, secure, and highly available infrastructure supporting our AI/ML/LLM risk management platform. You will manage cloud environments, implement infrastructure-as-code practices, and optimize CI/CD pipelines while collaborating with engineering teams to ensure reliability and observability. This role provides a unique opportunity to work in a fast-growing VC-backed startup at the forefront of AI management, directly contributing to the stability of systems that enable financial services organizations to manage AI model risk and compliance effectively. Candidates with strong cloud, containerization, and automation skills will thrive while participating in an innovative, collaborative, and inclusive work culture.
Please note: The salary range stated for this position is based on publicly available market data, for similar “Infrastructure Engineering” roles in United States. It does not represent an official offer or statement from ValidMind.
Application accepted until position is filled
Requirements
1. 3+ years of professional experience in infrastructure, DevOps, or SRE roles.
2. Strong experience with Docker and Kubernetes in production environments.
3. Hands-on experience with Terraform or other infrastructure-as-code tools.
4. Proficiency with major cloud platforms (AWS preferred; GCP or Azure considered).
5. Experience with monitoring/logging tools (Datadog, Splunk, Prometheus, ELK, Grafana).
6. Scripting skills in Bash and Python for automation.
7. Experience supporting CI/CD pipelines and deployment workflows.
8. Strong communication and collaboration skills.
9. Willingness to participate in on-call rotations and incident management.
10. Nice-to-have: experience with service mesh, GitOps workflows, cloud security, capacity planning, or cost optimization.
Benefits
1. Opportunity to directly impact stability and scalability of core systems.
2. Exposure to modern tech stack and professional growth opportunities.
3. Collaborative engineering culture with strong ownership and autonomy.
The application process will continue on the employer's website.
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