Jobs at Quantiphi

Designs and secures AWS platform infrastructure using Terraform and CloudFormation. Builds event-driven security automation with EventBridge, Lambda, and Systems Manager; integrates Security Hub and GuardDuty with Jira; enforces tagging and governance across AWS accounts and partitions; manages Firewall Manager, secure CI/CD pipelines, compliance standards, account vending, and incident-response automation. Collaborates with platform, network, and security teams to establish architecture patterns, remediation workflows, and security controls.

Leads software product development projects and advanced analytics, machine learning, and technology solution delivery. Responsibilities include gathering requirements, defining problems, creating user stories, managing project teams and client expectations, preparing technical documentation, applying Agile and Scrum methodologies, identifying risks, consulting clients, and developing creative solutions and presentations.

Administer and optimize Workday HCM, including business processes, workflows, calculated fields, security, reports, dashboards, tenant configuration, and release management. Partner with stakeholders to implement enhancements, troubleshoot issues, perform testing, maintain system integrity, and support end users. The role also requires ticketing and case management experience, strong analytical and communication skills, and familiarity with multiple Workday modules.

Leads data preparation, profiling, and exploratory analysis for large-scale datasets; builds, evaluates, tunes, and deploys time-series forecasting models for demand planning. The role requires Python, SQL, AWS, SageMaker, ML frameworks, and MLOps tools. It involves independent end-to-end ownership, customer presentations, stakeholder collaboration, and translating technical work into business outcomes. Retail or e-commerce forecasting and computer vision experience are preferred. Travel to the Bengaluru client office twice weekly is required.

Architect, develop, deploy, and monitor scalable machine learning and LLM-powered conversational AI systems on AWS. Lead agent framework, tool-calling, multi-agent, RAG, MLOps, analytics, and observability development while collaborating with technical and business stakeholders.

Build and maintain large-scale Snowflake data platforms and pipelines, including AWS and legacy-platform migrations. Develop SQL, Spark, PySpark, and Python transformations; implement batch and streaming workflows; optimize Snowflake performance; and apply security, governance, and data-sharing capabilities. Support migration validation, troubleshooting, monitoring, production operations, SDLC, CI/CD, and stakeholder collaboration while using Snowflake AI and migration tools.

Design and deliver large-scale data pipelines and storage/compute solutions on Google Cloud. Build ingestion and processing jobs for terabyte/petabyte workloads, create cloud migration strategies, troubleshoot distributed systems, and develop automation, testing, and monitoring tooling. Collaborate with cloud, software, ML, and operations teams and contribute to proposals and solution designs while ensuring data modeling and governance.

Design and implement scalable enterprise data platforms, ETL/ELT pipelines, data warehouses and lakes. Define data models, governance, security, and architecture standards. Collaborate with product, BI, and data science teams, provide production support, mentor engineers, and evaluate emerging technologies and POCs.

Lead Oracle database migrations to AWS, ensuring minimal downtime and optimized performance. Responsibilities include database tuning, pipeline building, and managing S3 data lakes.

The Associate Lead will oversee QA and MLOps for AI systems, defining testing strategies, validating ML lifecycles, and leading quality initiatives with AWS services.

Lead Platform Engineering to architect, deploy, and manage secure, scalable AWS cloud infrastructure using IaC, CI/CD, monitoring, automation, and container platforms; enforce AWS security governance; mentor engineers and collaborate on solution design.

Design, develop, and maintain scalable analytics solutions on the Looker BI Platform, focusing on LookML modeling and collaboration with data engineers and stakeholders.

The Data Modeler designs and maintains the Common Data Model and source-to-target mappings for healthcare data assets, working closely with engineers and clinical informaticists to ensure accuracy and integrity in data representation.

Design and maintain scalable analytics solutions on Looker BI Platform, optimize data models, develop dashboards, and ensure governance and compliance with data standards.

The Data Architect is responsible for designing data architecture, leading the creation of the Common Data Model, ensuring standards compliance, and handling high-volume data ingestion while collaborating closely with technical and governance teams.

The Associate Architect - Machine Learning role involves developing cloud ML solutions on AWS, fine-tuning LLMs, and collaborating with teams for optimal model implementation.

The Engagement Manager leads AI and Generative AI client programs, ensuring project delivery, stakeholder engagement, and account growth while managing technical teams.

Responsible for defining the testing strategy and infrastructure across the platform, including the development of a four-tier test framework and leading load testing campaigns. The role requires collaboration with data engineering teams and establishes QA strategies for data quality and testing frameworks.

The Senior Data Engineer will build and maintain data ingestion pipelines, manage FHIR serialization, and work within a spec-driven development framework, ensuring operational stability and high data quality for healthcare data workloads.

Architect and implement enterprise-grade MLOps/LLMOps on AWS (EKS-first), building scalable pipelines for training, validation, registry, deployment, monitoring, CI/CD, observability, lineage and governance; serve as technical authority, conduct architecture reviews, troubleshoot systems, and mentor engineering teams across projects.