Any Location: 2-3days per week

*(if someone is super far away, they may be ok with 1-2x per month)* could consider a fully remote person as a last resort, but must be on est time

6 months + potential extensions + potential to go permanent 

MUST

• 5+ years of experience in DevOps/Cloud Engineering, with exposure to both cloud and on-premises environments

• Strong hands-on Kubernetes experience

• Proficiency with Terraform, Terragrunt, Packer, and Ansible

• Experience with IAM/SSO integration and security systems in enterprise or banking environments

• Solid networking fundamentals (firewalls, VPNs, load balancing, peering)

• Experience working directly with banking or other regulated-industry client

• One role requires AI/LLM experience Nvidia /NIM technology, Lead deployment and operations of AI/ML infrastructure, including GPU-accelerated workloads and LLM inference platforms (NVIDIA NIM, Vertex AI)

DAY TO DAY:

You will design, implement, and support secure cloud and on-premises infrastructure for enterprise and regulated banking environments. The Senior Engineer will manage and optimize Kubernetes platforms, including GPU-enabled clusters, while automating infrastructure with Terraform, Terragrunt, Packer, and Ansible. This person will implement IAM/SSO integrations, maintain secure networking components such as firewalls, VPNs, load balancers, and network peering, and ensure compliance with security and regulatory standards.

The Senior Engineer will collaborate directly with banking and other regulated-industry clients to deliver reliable, scalable infrastructure solutions. For AI/ML initiatives, you will lead the deployment and operation of GPU-accelerated environments supporting LLM workloads and AI inference platforms, including NVIDIA NIM and Google Vertex AI. This person will troubleshoot complex infrastructure issues, improve automation and platform performance, and contribute to the continuous enhancement of DevOps practices and operational excellence