Jobs at Photon

Design, evaluate, and productionize generative AI/ML solutions (RAG, agents, embeddings, retrieval). Build evaluation frameworks for hallucination detection, benchmark LLMs, optimize prompts/models, create datasets, fine-tune models, and collaborate to deploy and monitor enterprise-scale GenAI systems.

Design, build, deploy, and operate production-grade AI agents and multi-agent systems. Implement RAG, agent orchestration, copilots, observability, memory patterns, and enterprise integrations while ensuring governance, reliability, and onshore/offshore delivery.

Serve as Product Owner on an Agile Scrum team: maintain and prioritize the backlog, define roadmaps and user stories, liaise with product management, vendors, and cross-functional teams, drive product launches, measure product performance, and introduce process and technology improvements to deliver customer-centric solutions.

Design, implement, test, and maintain scalable Java/J2EE microservices using Spring technologies. Collaborate with architects, follow SDLC, perform unit/system testing, troubleshoot distributed cloud applications, and work in Agile teams to meet enterprise performance and security standards.

Lead product strategy and roadmaps for marketing and e-commerce platforms, optimize CRM-driven customer journeys, collaborate with engineering and data teams, measure KPIs, and drive engagement, acquisition, retention, and digital revenue growth.

Lead development of scalable AI/ML capabilities for Mail Intelligence: build LLM- and ML-based personalization, data pipelines, tools, and observability. Mentor engineers, collaborate cross-functionally, run A/B tests, implement feedback loops, and balance cost/quality/speed tradeoffs to deliver production-grade solutions.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Lead QA team to develop and implement QA strategies, automation frameworks (mobile-focused), integrate testing into CI/CD, measure quality with KPIs, manage defects, mentor engineers, and report testing progress to stakeholders.

Design and iterate intuitive, accessible user interfaces and experiences. Conduct user research and usability testing, create wireframes, prototypes, and high-fidelity UI designs, collaborate with product and engineering, and maintain the design system and style guide to ensure consistent, user-centered digital products.

Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.

Serve as product owner for an Android mobile app: define vision, write epics/user stories, prioritize roadmaps, drive technical design and metrics, coordinate cross-functional teams (engineering, data science, clinical, design), and deliver healthcare-focused mobile features using Agile/SAFe practices.

Lead the CI/CD platform delivery and reliability using Azure DevOps; define IaC/Terraform standards and multi-cloud AWS patterns; run zero-downtime and multi-region deployments; own observability, security scanning, and secrets management; evaluate AI/LLM platform needs; manage offshore senior developers and report roadmap, risks, and delivery metrics to engineering leadership.

Lead solution architecture and delivery of AI-driven, cloud-native digital platforms. Design microservices, APIs, and integrations, drive discovery and implementation planning, mentor teams, enforce code quality, security, and scalability, and support sprint planning and governance.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

Lead a team of 5-6 data engineers to design and implement scalable data pipelines (Airflow), manage Snowflake data architecture, build real-time streaming solutions with Kafka/Spark Streaming, develop and integrate APIs, enforce code quality, and drive technical decisions and best practices.

Lead Quality Engineering for a large-scale digital commerce and loyalty modernization program. Define QA strategy, lead automation-first testing across microservices, APIs, event-driven systems, and cloud-native AWS workloads. Drive CI/CD continuous testing, environment and test data management, performance/resiliency/security testing, and mentor QA teams while collaborating with product, architecture, DevOps, and program leadership to ensure release readiness and production reliability.

Lead architecture, design, and delivery of native or hybrid mobile applications. Build POCs, translate wireframes into high-quality code, own technical delivery end-to-end, manage a team, and collaborate with product owners and stakeholders to ensure performance, scalability, and alignment with business goals.

Design, build, and modernize data solutions in a hybrid cloud environment. Implement ingestion, ELT pipelines, APIs/microservices, streaming and batch processing, data security, unit tests, code reviews, and performance optimizations to support analytics and applications.

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.

Lead QA automation strategy and team to design, build, and maintain Java-based Selenium/Cucumber automation frameworks. Integrate automated tests into CI/CD pipelines on AWS, define QA processes, measure quality with KPIs, manage defect lifecycle, and collaborate with development, DevOps, and product teams to ensure delivery of high-quality enterprise applications.