Quantiphi

Cloud Engineer

• Lead application migration and modernization initiatives for enterprise workloads transitioning to AWS.
• Define and execute strategies across rehost, replatform, and refactor approaches based on application architecture and business needs.
• Conduct application discovery, codebase assessment, and dependency mapping to inform migration and modernization decisions.
• Design and implement cloud-native application architectures using microservices and serverless patterns.
• Refactor monolithic applications into modular, scalable components where required.
• Drive modernization of application code, frameworks, and runtime environments (.NET/Java/Python).
• Integrate and enhance CI/CD pipelines to support modern application development and deployment.
• Collaborate with cross-functional teams to ensure seamless application transformation and delivery.
• Provide technical leadership and mentorship while remaining hands-on with design and development.

Cloud Application Architect

AI Research Scientist

• Deliver multi-geography projects for healthcare organizations
• Collaborate with Cloud, Software, and Data Engineering teams
• Design, build, and evaluate healthcare solutions
• Develop high-level solution architectures
• Ensure responsible AI practices
• Lead technical discussions and mentor senior resources
• Contribute to a collaborative team culture

Architect ML – AI Researcher

Backend Engineer

• Lead the design, development, and maintenance of scalable Ruby on Rails applications
• Configure, optimize, and scale application servers such as Puma, Unicorn, Falcon, or similar for high-performance systems
• Architect and deploy Rails applications using AWS services (ECS, EKS, EC2, RDS, S3, CloudFront, IAM)
• Build, maintain, and scale Docker-based microservices using Kubernetes orchestration
• Drive migration projects from Blackboard to Canvas LMS
• Collaborate with DevOps and product teams on CI/CD, infrastructure as code, and monitoring
• Optimize application performance using caching and background processing systems (Redis, Sidekiq, SQS, Kafka)
• Implement monitoring and alerting systems (CloudWatch, New Relic, Prometheus, Grafana)
• Participate in code reviews, provide technical leadership, and mentor junior engineers

Associate Architect – Software Development, Ruby on Rails

Machine Learning Engineer

• Work as an Associate Architect - Machine Learning (AWS)
• Collaborate with cross-functional teams to deliver cloud ML solutions
• Implement and develop machine learning models on AWS
• Optimize and evaluate machine learning workflows and models
• Design and maintain software architecture for cloud-based applications

Cloud Application Architect

Architect ML – AI Researcher

Associate Architect – Software Development, Ruby on Rails

Associate Architect – Machine Learning