Jobs at Photon

Lead discovery and delivery of a localized, bilingual (English/French) retail mobile app. Own vision, roadmap, backlog, and stakeholder communication; coordinate engineering, QA, backend/CMS integration, and app-store readiness; ensure compliance, analytics-driven improvements, and successful bilingual rollout.

Design, develop, and maintain scalable full‑stack web applications using Java/Spring Boot backends and React frontends. Build RESTful APIs/microservices, integrate third‑party services, optimize performance and security, write tests, participate in code reviews and architecture discussions, troubleshoot production issues, and contribute to CI/CD and DevSecOps practices.

Design, develop, test, and deploy scalable enterprise web applications and APIs using .NET technologies. Build front-end features with Angular/React, optimize performance and security, run CI/CD pipelines, work with cloud-native and containerized deployments, participate in architecture and code reviews, mentor junior developers, and collaborate in Agile teams to troubleshoot production issues.

Lead development and execution of enterprise data management strategy, governance, and quality. Oversee MDM, metadata, data lineage, catalogs, lifecycle, profiling, cleansing, and compliance. Partner with engineering, analytics, and security to deliver reliable data platforms, KPIs, and mentor a data management team.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.

Build, optimize, and deploy production-grade generative AI applications. Design multi-agent systems and LangGraph workflows, implement advanced RAG with LlamaIndex and vector DBs, fine-tune and host LLMs, integrate/swap commercial and open-source models, and deliver scalable FastAPI/async backends with Docker, monitoring, and CI/CD.

Design, build, and maintain secure, high-performance RESTful APIs and microservices using Java and Spring Boot. Collaborate with cross-functional teams, implement API security (OAuth2/JWT/OpenID Connect), optimize databases, integrate messaging systems, write unit/integration/API tests, participate in code reviews and architecture decisions, troubleshoot production issues, and contribute to CI/CD and DevSecOps practices.

Build and deliver backend enterprise web applications for Citi's Integrated Digital Assets Platform using Java/Spring and web3 technologies. Collaborate with distributed teams, follow best practices and design patterns, write technical documentation, resolve issues, and ensure scalability, reliability, and performance.

Design, develop, and maintain scalable full-stack web applications using Java/Spring Boot backends and React frontends. Build RESTful APIs and microservices, implement responsive UIs, write tests, participate in code reviews, troubleshoot production issues, and contribute to CI/CD and DevSecOps practices.

Design, build, and maintain responsive, high-performance React web applications. Create reusable UI components, integrate with REST/GraphQL backends, optimize performance and cross-browser compatibility, participate in code reviews and sprints, and collaborate with designers, backend, QA, and DevOps to deliver enterprise-scale features.

Lead end-to-end UX design: create wireframes, prototypes and mock-ups (Figma); conduct user research and usability testing; use data and AI tools to inform decisions; present to stakeholders; facilitate workshops; integrate design systems into engineering workflows and ensure smooth handoffs.

Operate and monitor ML/AI models and agentic systems in production. Build AI observability, logging, tracing, and evaluation pipelines. Monitor LLM outputs, detect drift and model degradation, and maintain data/feature pipelines. Develop CI/CD, model versioning, experiment tracking, and automate alerts and incident remediation while collaborating with data scientists and platform teams.

Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.

Design, build, and deploy agentic AI and multi-agent systems using LangChain/LangGraph and ADKs. Implement LLM orchestration, RAG pipelines, vector DBs, React-based AI interfaces, and production-grade infrastructure with observability, security, and optimization.

Lead design, delivery and implementation of scalable production software across a complex, regulated environment. Drive DevOps/CI-CD, GitOps, containerization, Kubernetes and IaC adoption, improve incident/problem management and observability, coach teams, implement Agile, and manage senior stakeholders to ensure reliable, high-scale services.

Design and implement data federation and lakehouse architectures, build scalable ETL/ELT pipelines with Python and Spark, optimize performance across federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, security, and access controls for analytics and AI teams.

Lead migration from AEM 6.5 to AEMaaCS: assess implementations, architect cloud-native components, manage content migration with CTT, redesign dispatcher, implement CI/CD via Adobe Cloud Manager, modernize integrations, train teams, and provide post-migration support and technical documentation.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Lead design, development, and deployment of production-grade Generative AI applications (LLM-based chatbots, agents, RAG systems). Hands-on coding in Python, integrate and benchmark models, build ingestion and vector retrieval pipelines, design architecture for performance and cost, mentor engineers, and implement AI governance, safety, and monitoring.

Translate ambiguous business problems into AI-native product opportunities. Develop future-state, prompt-driven experiences, hyper-personalized journeys, and strategic narratives. Lead cross-functional teams, benchmark AI product trends, and present executive-ready transformation roadmaps.