As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Job Title: MLOps Engineer - AI Innovation Team
Company: SS&C Technologies
Location: - Bucharest, Romania
Department: Digital Product & Innovation - Financial Services (GIDS Digital)
Position Type: Full-Time
About SS&C:
SS&C Technologies is a leading global provider of software solutions and services to the financial services industry. We develop innovative technology platforms that empower financial institutions, including asset managers, insurance companies, hedge funds, and wealth managers, to deliver superior investment outcomes. Our digital solutions are designed to meet the evolving needs of both end clients and institutional investors.
Role Overview:
We are seeking a skilled MLOps Engineer to join our AI Innovation team, focusing on AI microservice infrastructure and production deployment. In this role, you will be responsible for building and maintaining the critical infrastructure that enables our AI innovations to scale from proof-of-concepts to enterprise-grade production services. You will work closely with Python developers, AI researchers, and business analysts to establish robust deployments, monitoring systems, and cloud infrastructure that support our cutting-edge AI applications in the financial services industry.
As part of our dynamic innovation environment, you will play a crucial role in defining the "path to production" for our AI initiatives, ensuring that experimental AI solutions can be reliably deployed, monitored, and scaled to meet enterprise requirements.
Key Responsibilities:
- 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.
Required Qualifications:
- 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.
Preferred Qualifications:
- Experience in the financial services industry, particularly with regulatory and compliance requirements.
- Expertise in Kubernetes for container orchestration and microservices deployment.
- Familiarity with AI/ML specific deployment challenges and MLOps best practices.
- Knowledge of monitoring and observability tools for distributed systems and microservices.
- Knowledge of AWS Bedrock and other AI/ML cloud services.
- Experience with GitHub Actions for CI/CD pipeline implementation.
- Familiarity with Python applications and microservices architecture patterns.
- Experience with database management and optimization, including both SQL and NoSQL databases.
- Familiarity with Agile methodologies and tools such as JIRA and Confluence.
- Experience with automated testing frameworks for infrastructure and deployment validation.
What We Offer:
- The opportunity to work on impactful projects that shape the future of digital financial services.
- 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.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
