Jobs at Quantiphi

The Senior Platform Engineer will design and optimize infrastructure for GenAI and LLM workloads, manage GPU resources, and collaborate on deploying AI solutions.

Build and maintain financial data infrastructure supporting accounting and reporting. Translate finance requirements into scalable data solutions, ingest and transform ERP data, develop Fabric lakehouses and warehouses, maintain Power BI semantic models, and consolidate general ledger, accounts payable, accounts receivable, and asset-management data. Partner with accounting, finance, analytics, and architecture stakeholders to ensure data quality, governance, consistency, and availability.

Design and deliver large-scale data pipelines and cloud migration solutions using Azure Synapse Analytics. Build and optimize ETL/ELT workflows processing terabytes or petabytes of structured and unstructured data. Develop automation, monitoring, testing, storage, and compute tooling across Azure environments. Collaborate with infrastructure, engineering, DevOps, and cloud teams while mentoring engineers and leading large projects.

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches or recruits team members. Collaborates with engineering and enterprise stakeholders while applying agile methodologies, business analysis, and emerging AI, machine learning, data, and cloud technologies.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Design and develop advanced machine learning and generative AI solutions, including LLM fine-tuning, RAG architectures, prompt engineering, model evaluation, and MLOps. Architect scalable training, deployment, and retraining workflows on AWS using SageMaker and related services. Collaborate with engineering, QA, project management, and other stakeholders to deliver reliable AI applications and solve complex business problems.

Designs and scales distributed platform services, APIs, microservices, and React applications for healthcare technology platforms. Owns architecture, reliability, performance, testing, CI/CD, observability, infrastructure, and production support. Partners with product and clinical teams, mentors engineers, leads technical decisions, and uses AI-augmented development tools. Requires extensive software engineering experience with cloud-native systems, databases, REST APIs, frontend frameworks, and scalable SaaS platforms.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

Lead organizational change management for cloud migration: conduct impact analyses, develop strategic communications, design and deliver training and enablement, engage stakeholders, assess readiness, define adoption metrics, and report progress to program leadership.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.