Jobs at KANINI

Own Salesforce architecture, roadmap, governance, integrations, security architecture, DevOps, and the migration to Revenue Cloud. Lead internal administrators and external partners, oversee platform reliability, manage capacity and delivery standards, and partner with executives across business functions. The role requires hands-on Salesforce CPQ and Revenue Cloud expertise, complex integration architecture, acquisition onboarding, team leadership, and strong stakeholder communication.

Develop and optimize enterprise Power BI semantic models and reports using Microsoft Fabric and Snowflake. Responsibilities include DAX and Power Query development, incremental refresh, large-scale data modeling, performance and capacity troubleshooting, RLS administration, Git-based deployments, refresh automation with PowerShell and REST APIs, and source-to-model reconciliation. The role partners with data engineering and business stakeholders to deliver scalable reporting solutions and document root-cause findings.

Develop and maintain advanced iOS applications and scalable Node.js APIs for healthcare environments. Integrate REST, GraphQL, third-party services, and event-driven systems while supporting offline synchronization with NoSQL databases. Manage containerized deployments and cloud infrastructure using Docker, Kubernetes, GCP, and Anthos. Ensure HIPAA-compliant data handling, secure authentication, observability, performance, testing, and maintainability. Collaborate cross-functionally, contribute to architecture decisions, troubleshoot applications, and mentor junior developers.

Own the complete data science lifecycle for a flagship predictive modeling project. Responsibilities include analyzing and engineering multi-source data, building production-grade pipelines, developing and deploying supervised, unsupervised, reinforcement, deep learning, NLP, and forecasting models, monitoring performance, documenting work, communicating insights, and mentoring junior team members.

Design, develop, and optimize scalable batch and real-time data pipelines on GCP. Implement Medallion Architecture, build Python and PySpark transformations, optimize BigQuery and SQL workloads, deploy Dataflow pipelines, and orchestrate workflows with Cloud Composer and Airflow. Manage GCS storage, CI/CD, version control, IAM, data governance, security, reliability, scalability, and cost efficiency across enterprise data platforms.

Define and govern enterprise data architecture, integration frameworks, data models, governance standards, and scalable GCP data platforms. Lead architecture decisions covering batch and real-time processing, Data Mesh and Lakehouse patterns, ETL/ELT, APIs, streaming, security, performance, observability, privacy, and compliance. Partner with technical and business stakeholders, guide data initiatives, establish platform standards, and mentor engineering teams on architecture and integration best practices.

Build and deploy full-stack, backend-heavy applications and scalable Java services on GCP. Develop AI-powered solutions using Vertex AI and agentic AI frameworks, owning development, testing, deployment, and production support. Collaborate with clients and cross-functional stakeholders in ambiguous, forward-deployed environments, rapidly prototyping solutions, troubleshooting issues, and iterating based on user feedback.