Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
About the Role
Lead the deployment and scaling of AI solutions for financial workflows, ensuring flawless operation in demanding environments. Provide technical leadership and hands-on expertise to maintain secure, reliable, and high-performing infrastructure. Optimize deployments for massive scale across cloud and on-prem environments, implement security controls, and manage AI/ML workload challenges. Collaborate with engineering, product, and customer teams to streamline continuous delivery. Play a central role in maintaining, optimizing, and supporting systems across Google Cloud Platform, Microsoft Azure, Amazon Web Services, and on-premises environments.
Responsibilities
- Architect and maintain scalable, secure software-stack and infrastructure on major cloud providers (AWS, GCP, Azure) and on-premises environments.
- Build and support high-performance computing clusters for model training and inference.
- Design and implement robust CI/CD pipelines (Argo CD, GitHub Actions) to streamline the delivery of AI models and applications.
- Define SLOs/SLIs and implement comprehensive monitoring and alerting systems (Datadog, Prometheus, Grafana) to ensure high availability.
- Enforce DevSecOps best practices, managing IAM policies, network security, and compliance automation for regulated financial environments.
- Oversee the deployment and maintenance of production databases, including Postgres, Vector Stores and Graph Databases.
Requirements
- 6+ years of DevOps or SRE experience, with a strong background in supporting distributed systems at scale.
- Expert-level knowledge of Kubernetes (EKS, GKE, AKS) and Docker.
- Deep proficiency with at least one major cloud provider (AWS, GCP, or Azure) and hybrid/on-prem deployments.
- Advanced skills in Terraform or Ansible for reproducible infrastructure.
- Experience building complex pipelines with tools like Jenkins, Argo CD, or GitLab CI.
- Strong scripting skills in Bash and Python.
- Hands-on experience with modern monitoring stacks (Datadog, ELK, Prometheus/Grafana) and distributed tracing.
- Solid understanding of network security, IAM, VPC peering, and encryption standards.
- Excellent communication and collaboration abilities.
Skills
- Kubernetes
- Docker
- AWS
- GCP
- Azure
- Terraform
- Ansible
- Jenkins
- Argo CD
- GitLab CI
- Bash
- Python
- Datadog
- ELK
- Prometheus
- Grafana
- Network Security
- IAM
- VPC Peering
- Encryption
- Postgres
- Vector Stores
- Graph Databases
Location
- US
Work Type
- Full-time
Experience Level
- Senior
- 6+ years
Salary/Compensations
- Competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience.
Benefits
- Comprehensive benefits
About the Company
- Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry.
- It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.