DevOps / MLOps Engineer
Core
Building and maintaining scalable infrastructure for autonomous AI trading systems and applied AI services in the financial sector.
Role type
Mid-to-senior DevOps / MLOps Engineer
Builds
Production trading platforms, AI consulting implementations, and applied AI services for financial institutions
Domain
FinTech, Autonomous Trading, Cloud Infrastructure
Deliverable
infrastructure
Required skills
AWS, Azure, GCP, Kubernetes, Docker, Terraform, Ansible, CI/CD, Prometheus, Grafana, Kafka, PostgreSQL, BigQuery
Preferred skills
None stated
Technologies
AWS, Azure, GCP, Proxmox, Docker, Kubernetes, EKS, Azure Container Apps, Cloud Run, Terraform, Ansible, GitHub Actions, ArgoCD, Prometheus, Grafana, ELK, OpenTelemetry, Kafka, MSK, Redis, MongoDB, PostgreSQL, RDS, TSDB, BigQuery, Bigtable
Responsibilities
Own and standardize multi-cloud and on-prem infrastructure; Design infrastructure for new trading and ML projects; Manage cloud networking, IAM, and security; Operate containerized workloads; Maintain IaC and CI/CD pipelines; Improve observability and reliability; Support databases and ML model deployment pipelines; Provide developer support for deployments and debugging
Seniority
Mid-level to Senior, hands-on IC
