SS&C Technologies

MLOps Engineer – AI Innovation

SS&C Technologies

full-time

Posted on:

Location Type: Hybrid

Location: Bucharest • 🇷🇴 Romania

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudKubernetesMicroservicesPythonTerraform

About the role

  • Design, implement, and maintain scalable cloud infrastructure for AI applications using AWS services, with a focus on ECS, S3, RDS, and Bedrock
  • Manage deployments with Kubernetes clusters, ensuring high availability and performance, and integrating with our existing infrastructure best practices
  • Develop and maintain CI/CD pipelines
  • Develop and expand our Infrastructure-as-Code (IaC) with Terraform to ensure consistent and reproducible deployments across multiple environments
  • Collaborate with Python developers to containerize AI applications and optimize them for production deployment
  • Design and implement cloud networking solutions that support secure and efficient communication between AI microservices
  • Maintain and monitor security best practices for AI applications, including secrets management, access controls, and compliance requirements
  • Troubleshoot and resolve infrastructure-related issues across the AI application stack, ensuring minimal disruption to business operations
  • Stay updated with emerging MLOps tools, cloud technologies, and industry best practices to continuously improve our deployment and infrastructure capabilities
  • Participate in the strategic planning of AI Innovation infrastructure, identifying opportunities for automation and process improvement

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, DevOps, or a related technical field
  • 3+ years of experience in DevOps, MLOps, or cloud infrastructure engineering
  • Proven experience with AWS cloud services, particularly ECS, S3, RDS, IAM, and networking components
  • Strong expertise in Infrastructure as Code tools, specifically Terraform for cloud resource management
  • Experience building and maintaining CI/CD pipelines for application deployment, preferably with ML/AI applications
  • Strong understanding of containerization technologies and best practices for production deployments
  • Experience with cloud networking, security, and compliance best practices
  • Basic Python and software development skills
  • Excellent communication and collaboration skills, with the ability to work effectively with development teams and stakeholders.
Benefits
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package, including health, dental, and retirement plans
  • Opportunities for professional growth and career advancement
  • A collaborative work environment focused on innovation, learning, and excellence

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AWSECSS3RDSKubernetesCI/CDTerraformPythonInfrastructure as Codecontainerization
Soft skills
communicationcollaborationtroubleshootingproblem-solvingstrategic planningautomationprocess improvement
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in DevOps