Quantrics Enterprises Inc.

Database Administrator

• Ensure the reliability, security, and performance of database systems in 24/7 environments, optimizing for scalability and high availability.
• Designs cloud database architectures, enforces compliance, drives performance tuning, and collaborates with stakeholders to align database strategies with business needs.
• Ensure the smooth implementation and maintenance of database systems (Oracle, MySQL, Postgres, and Progress DB)
• Provide production support for 24/7 environments
• Monitor and analyze system performance, identify bottlenecks, and implement optimizations to ensure high availability and scalability of database systems
• Work closely with security and compliance teams to ensure adherence to regulatory and industry standards
• Document and maintain technical documentation related to the work done
• Collaborate with stakeholders to gather requirements, analyze business needs, and design scalable cloud database architectures
• Develop and implement database management strategies, including data governance and data security measures
• Stay up to date with the latest advancements in cloud computing, data management, and database technologies, and recommend improvements to existing systems
• Participate in capacity planning exercises and ensure efficient resource utilization

Database Administrator, Oracle, SQL

Full-stack Engineer

• Design, build, and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, and AI Platform for model training, deployment, and serving
• Develop and maintain platform services for AI agent orchestration, RAG pipelines, and LLM integration using Python, FastAPI, and Flask
• Collaborate with cross-functional teams to support CI/CD pipelines for ML models, GitLab workflows, and MLOps automation
• Work with GCP services including Cloud Functions, Cloud Run, Dataflow, and Pub/Sub to build event-driven AI architectures
• Build and optimize data pipelines using BigQuery, Dataflow, and Apache Airflow for AI model training and inference
• Contribute to automation, observability, and reliability initiatives for AI systems using GCP Cloud Operations and New Relic
• Lead and mentor team members in AI/ML engineering best practices, fostering a culture of learning and innovation
• Explore and integrate cutting-edge AI capabilities (LLMs, vector databases, prompt engineering) into platform solutions
• Develop customized AI solutions and integrations to meet development teams' requirements, leveraging GCP APIs, SDKs, and LangChain
• Create technical documentation, tutorials, and training materials to support AI/ML adoption and facilitate knowledge transfer
• Stay up to date on latest AI/ML technologies, GCP products, and industry trends, serving as a subject matter expert for the organization
• Analyze existing AI workflows and processes to identify areas for optimization and efficiency gains
• Implement scalable AI systems and tools to automate repetitive tasks, streamline ML operations, and enhance developer productivity

Senior AI Software Engineer – GCP

ServiceNow

• Lead technical workshops and requirements gathering sessions with business and IT stakeholders.
• Develop and maintain architectural standards, roadmaps, and documentation.
• Provide guidance and mentorship to ServiceNow developers and administrators.
• Ensure platform scalability, performance, and security.
• Collaborate with cross-functional teams to integrate ServiceNow with other enterprise systems.
• Stay current with ServiceNow releases and new features, recommending adoption where appropriate.

Database Administrator, Oracle, SQL

Senior AI Software Engineer – GCP

ServiceNow Architect