MLOps Automation Engineer Lead
Core
Lead the automation of data, analytics, and model development lifecycles, focusing on CI/CD pipelines and unattended delivery for production ML models.
Role type
Senior IC MLOps Automation Engineer Lead
Builds
Automated CI/CD pipelines, containerized workloads on AWS EKS, automated testing solutions, and automated environment provisioning.
Domain
Financial Services / Machine Learning Operations / Cloud Infrastructure
Deliverable
production ML models
Required skills
Automation engineering, CI/CD tools, Python/Java/C++/JavaScript, AWS, Docker, Kubernetes, Terraform, Infrastructure as Code, Security posture management, Disaster recovery planning, OAuth 2.0 integration, Kubernetes networking, Observability (Prometheus/Grafana/CloudWatch), DataOps/ModelOps principles
Preferred skills
Kubernetes certification (CKAD/CKA), Managed Kubernetes services (AWS EKS/GKE/AKS), Service mesh (Istio), Cilium, RBAC, Network policies, Cluster hardening, Helm charts, Multi-environment cluster management, Vulnerability management, Agile development, Financial Services background
Technologies
AWS EKS, Kubernetes, Terraform, Helm, Docker, Jenkins, Artifactory, CircleCI, Ansible, Prometheus, Grafana, CloudWatch, Istio, Cilium, OAuth 2.0
Responsibilities
Streamline data and model development lifecycles through automation; Develop automation solutions for containerized workloads on AWS EKS; Build automated testing and environment provisioning solutions; Design and maintain secure AWS EKS infrastructure for ML model deployment; Provide leadership, coaching, and mentoring to team members; Analyze and troubleshoot complex production issues; Promote automation across the data management and analytics delivery organization.
Seniority
Senior, hands-on IC with leadership responsibilities