CUBICSTACK SOLUTIONS

Responsibilities

• Provision and manage infrastructure for the AI platform on multi cloud platforms (AWS, Azure, GCP).
• Implement Infrastructure as Code (IaC) practices (Terraform, CloudFormation) for automated, repeatable infrastructure provisioning and configuration.
• Design and implement CI/CD pipelines (Jenkins, GitLab CI/CD) for the AI platform.
• Integrate automated testing (unit, integration) and security scanning into the pipeline.
• Improve and upgrade systems to the latest technology, applying modern/trending technologies to reduce TCO and automate manual tasks.
• Work closely with AI team, data team, and developers to support AI model development and optimization.
• Collaborate with development, QA, and product teams to understand requirements and provide operational support.
• Implement monitoring solutions (Prometheus, Grafana) to track platform health and performance.
• Implement industry-standard security best practices for the platform (access control, data encryption, vulnerability management).
• Stay updated on security threats and ensure compliance with financial industry regulations.
• Provide internal training, consultation, and guidelines to team members on system capabilities.
• Follow the organization’s SDLC and other compliance processes.
• Perform other duties as assigned by team leaders, managers, and directors.

Qualifications

1. Educational Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related field of study

2. Relevant Knowledge/ Expertise

• Minimum of 5 years working as developer/operator, with a strong focus on cloud-based infrastructure and automation.
• Understanding of banking and finance industry regulations and standards.
• Familiarity with Generative AI models and frameworks.
• Proficiency in managing AI/ML pipelines and deployments.
• Proficiency in public cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines, infrastructure as code (IaC) (e.g., Terraform, Ansible), CI/CD tools (Jenkins, GitLab CI), and monitoring tools.
• Knowledge of monitoring and logging tools (Prometheus, Grafana).
• Extensive experience and expert knowledge in RDBMS: Oracle, PostgreSQL, and NoSQL.
• Extensive experience in scripting and automation skills (Python, Bash, etc.).
• Experience in Data Warehouse, Data model, Data mart, Database design.