Jobs at Photon

Designs, builds, and operates scalable enterprise data platforms supporting ingestion, processing, storage, governance, analytics, and AI/ML. Responsibilities include developing batch and real-time pipelines, lakehouse and warehouse architectures, orchestration, infrastructure automation, CI/CD, monitoring, security, cost optimization, and observability. The role partners with data, ML, DevOps, security, and application teams, troubleshoots complex platform issues, establishes reusable engineering standards, contributes to architecture strategy, and mentors engineers.

Design end-to-end web and mobile experiences for enterprise tools and a B2C marketplace. Conduct user research and usability testing, create UX flows and high-fidelity interfaces in Figma, collaborate with Product and Engineering, and develop scalable component libraries and design systems. Balance user needs, business goals, and technical constraints while clearly communicating design decisions.

Build and scale production-ready generative AI applications, including multi-agent systems, advanced RAG pipelines, LLM integrations, and FastAPI backend services. Fine-tune and deploy commercial and open-source models, optimize workflows for latency, cost, and reliability, and containerize services with Docker. Responsibilities also include vector search, prompt engineering, monitoring, API security, CI/CD, and local LLM hosting or quantization.

Systems Analyst bridging business and technology for an enterprise API integration platform. Responsibilities include gathering requirements, analyzing current and future processes, defining functional and technical specifications, supporting integration design, conducting gap analysis, assisting testing and UAT, monitoring performance, and supporting change management and deployment. The role requires collaboration with stakeholders, developers, and quality engineering teams to deliver reliable integration solutions.

Leads complex enterprise technology projects across business, product, and engineering teams. Responsibilities include project planning, roadmap development, risk and dependency management, delivery governance, release coordination, stakeholder communication, KPI tracking, resource and budget management, process improvement, and team coaching. The role promotes Agile and modern delivery practices while ensuring quality, execution accountability, and alignment with strategic business objectives.

Designs and maintains automated testing frameworks for enterprise applications. Develops automation scripts, validates APIs and web services, performs functional, regression, integration, and end-to-end testing, and applies BDD practices. Supports CI/CD integration, analyzes QA metrics, improves testing processes, and collaborates with engineering and business stakeholders to ensure software quality, reliability, performance, and maintainability.

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Define and lead enterprise-wide AI/ML architecture strategy, standards, governance, reference architectures, and adoption roadmaps. Design scalable architectures for generative AI, LLM applications, RAG, AI agents, MLOps, data platforms, cloud infrastructure, security, and enterprise applications. Lead technology evaluations, architecture reviews, modernization strategies, responsible AI controls, vendor decisions, and transformation programs while advising executives and technical teams.

Leads large-scale, cross-functional programs from planning through delivery, defining scope, budgets, timelines, metrics, and governance. Manages interconnected projects, risks, resources, vendors, stakeholders, and executive communications. Drives change management, process improvement, issue resolution, and successful adoption of program outcomes while mentoring project managers. Requires 8–12+ years of project or program management experience, including enterprise-scale programs, and familiarity with Agile, Waterfall, or hybrid delivery methods.

Lead a large-scale API platform implementation over a 15-month timeline. Responsibilities include program planning, governance, stakeholder coordination, resource and budget management, risk and dependency resolution, vendor oversight, KPI tracking, executive reporting, and transition to support teams. The role coordinates engineering, business, QA, and operations teams while managing Agile, Scrum, and Waterfall delivery methodologies and change-management communications.

Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.

Defines and governs end-to-end enterprise technology solutions aligned with business objectives and architecture standards. Designs cloud, hybrid, distributed, microservices, API, integration, data, security, and AI-enabled architectures across AWS, Azure, and GCP. Leads modernization strategies, technology evaluations, architecture roadmaps, risk mitigation, governance, and technical design reviews. Collaborates with business stakeholders, engineering teams, vendors, and architecture specialists while supporting delivery, pre-sales, proposals, and client presentations.

Build scalable backend-heavy services and applications using C# and .NET, while contributing to Angular and TypeScript UI development. Design and develop REST APIs and microservices, work with relational databases, implement automated testing and CI/CD, and ensure system security, scalability, and performance. Preferred work includes event-driven architectures, messaging systems, NoSQL databases, caching, search technologies, and mentoring engineers or leading technical initiatives.

Lead backend architecture for large-scale cloud-native e-commerce, loyalty, identity, payment, and customer engagement platforms. Define scalable APIs, event-driven systems, microservices, integrations, data architectures, AWS infrastructure, observability, security, and resiliency standards. Guide modernization, governance, technical roadmaps, architecture reviews, and cross-functional delivery while mentoring engineering teams and aligning platforms with QSR digital ordering and omnichannel customer experiences.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Lead compliance programs covering ISO 27001 implementation, external audits, SOC 2 Type 2, QMS, HIPAA, PCI DSS, and SOX. Manage internal audits across HR, administration, and IT; complete RFI/RFQ questionnaires; and support delivery compliance activities. Requires at least five years of relevant experience and a degree in engineering, computer science, or an equivalent field.

Leads the design, development, and delivery of scalable web applications using React.js and Node.js. Defines architecture, develops REST APIs and microservices, mentors engineers, conducts code reviews, troubleshoots production issues, and ensures application performance, security, scalability, and reliability. Collaborates with Product, QA, DevOps, and Architecture teams while supporting testing, CI/CD, sprint planning, estimation, and technical improvements.

Serve as a senior Scrum Master and agile coach, embedding Scrum values, improving squad maturity, enabling self-organization, removing systemic impediments, and driving continuous improvement. Partner with Product Owners on backlog readiness and value delivery, coach teams and leaders, support predictable outcomes, foster psychological safety, collaborate with other Scrum Masters, and contribute to agile scaling initiatives.

Develop and operate enterprise Graph AI platforms, Knowledge Graphs, ontology frameworks, graph APIs, analytics services, and graph-based machine learning solutions. Build Graph Neural Networks, GraphRAG, semantic search, inference services, and scalable ingestion pipelines using graph databases and distributed systems. Responsibilities include platform engineering, automation, performance optimization, observability, governance, testing, and collaboration with AI, data science, architecture, and business teams.

Lead Salesforce modernization by reducing technical debt, optimizing code and configurations, improving performance, and establishing scalable development standards. Develop and integrate Apex, Apex web services, APIs, and microservices-based solutions, particularly for Service Cloud. Guide version control, governance, documentation, and team practices while integrating Salesforce with analytics, marketing automation, and customer-facing platforms. Provide technical leadership, training, stakeholder communication, and strategic transformation across the Salesforce ecosystem.