Jobs at Photon

Design and architect large-scale distributed Big Data solutions using Java, Spark, and Hadoop/Cloudera. Lead global teams to build high-volume data processing and analytics pipelines, ensure robust testing (JUnit), and apply scripting for automation and data analysis.

Lead design, development, testing, deployment, and optimization of large-scale Spark/Scala data processing and ETL pipelines using Cloudera components. Collaborate with data scientists and engineers, ensure data integrity and performance, troubleshoot platform issues, and implement version control and CI/CD for Spark applications.

Design, develop, fine-tune, and optimize generative deep learning models (GANs, VAEs, transformers). Collaborate with cross-functional teams to integrate and deploy AI solutions, troubleshoot model issues, document models, and communicate technical concepts to non-technical stakeholders.

Lead planning, execution, and delivery of complex technical programs across cross-functional engineering teams. Break down large initiatives into milestones, write functional/technical user stories, manage dependencies, resources, and risks, communicate status to senior leadership, and build partner relationships to ensure timely delivery.

Own P&L and client relationships for large accounts. Drive revenue growth via new, renewal and expansion opportunities. Create account plans, govern delivery, ensure project profitability and customer satisfaction. Coordinate pre-sales, delivery, finance and technical teams; lead proposals and presentations; manage portfolio performance and mentor teams to remove constraints.

Design, develop, test, and deploy high-performance Apache Spark/Scala data processing applications and ETL pipelines on Cloudera (CDH). Optimize Spark and platform performance, build data pipelines using HDFS, Hive, Impala, HBase, and Kafka, ensure data integrity and security, collaborate with data scientists and analysts, and implement version control and CI/CD for deployments.

Lead and architect scalable, high-performance Angular front-end applications. Collaborate with Product, Design, Backend, and QA in Agile teams. Write and review code, optimize UI performance, mentor junior engineers, and align implementations with technical strategy while integrating with backend services and modern CI/CD and cloud-native tooling.

Lead and deliver complex technical programs by breaking them into milestones, writing specifications, coordinating cross-functional engineering teams, managing resources and roadmaps, communicating risks and progress to senior leadership and partners, and ensuring timely agile delivery.

Lead front-end development using Angular to design, build, and maintain scalable, resilient, and interactive web applications. Provide hands-on coding, code review, UI/UX best practices, collaborate with stakeholders and cross-asset UI teams, follow agile practices, and drive improvements and standards across front-end projects.

Lead development of secure, scalable full-stack banking applications. Design RESTful APIs and microservices with Java/Spring/Hibernate, build Angular front-ends, integrate SQL and NoSQL databases, enforce security/compliance, implement CI/CD, optimize performance, conduct unit testing and production troubleshooting, and collaborate with product, UX, and business stakeholders in an Agile environment.

Senior capital markets product manager/analyst with 15+ years as a Business Analyst. Conduct deep analysis of processes, systems, and workflows; gather and document requirements; analyze trading data, market trends and regulatory changes; use SQL/analytics; familiarity with trading platforms and order management systems is a plus.

Design and architect large-scale distributed big data solutions and ETL pipelines using Java, Scala, and Spark. Build and optimize Spark applications on Cloudera CDH (HDFS, Hive, Impala, HBase, Kafka). Ensure data integrity, troubleshoot performance issues, and implement version control and CI/CD for Spark workloads while collaborating with cross-functional teams.

Senior front-end developer responsible for building complex UI using Angular 16+, TypeScript, HTML5/CSS3 and WebComponents. Work with Git workflows, CI/CD, automated testing, Docker, and tooling (Jenkins, Selenium, SonarQube). Collaborate on distributed agile teams, integrate with Java/Spring Boot REST services, and deliver reliable browser-compatible solutions. Banking/financial domain experience preferred.

Lead client engagements to design and deliver scalable cloud data platforms and AI/GenAI solutions. Drive solution development, data governance, compliance, and operational metrics. Build and mentor cross-functional teams, provide technical leadership, and produce thought leadership to grow business opportunities.

Lead business analysis in capital markets: analyze processes, systems, and trading data; gather and document stakeholder requirements for new initiatives and system enhancements; assess market and regulatory impacts; leverage SQL/analytics; liaise with trading platform and OMS teams.

Lead front-end development for large, distributed systems using Angular 16+, HTML5, JavaScript, CSS3, WebComponents and AG Grid. Drive CI/CD, automated testing and TDD, work with Git workflows, Docker, Jenkins, and testing frameworks. Collaborate on distributed agile teams, solve complex problems, and integrate with Java/Spring Boot REST services. Banking/financial domain experience preferred.

Senior Java Big Data Developer with 8+ years building applications on Cloudera/Hadoop ecosystems using Spark and MapReduce. Responsible for designing performant Java (1.8+) solutions, data analysis of large datasets, unit testing (JUnit), and collaborating with/managing global technology teams. Preferred skills include Unix/Python scripting and familiarity with Hive, Impala, YARN, and Kafka.

Lead design and implementation of GenAI platform components and secure APIs. Drive end-to-end AI development from research to production, apply DevOps for scalable deployments, collaborate with cross-functional teams, and stay current with GenAI advances to deliver customer value.

Design, develop, and maintain data engineering solutions across the SDLC using Python (primary) and Scala (secondary). Build distributed data pipelines on Hadoop/Spark ecosystems, extend data processing platforms (Spark SQL, Hive, Starburst), manage CI/CD, and deploy on Kubernetes/OpenShift. Collaborate with stakeholders in Agile teams and ensure maintainable, reusable code.

Build and maintain responsive Angular UI components, collaborate with UX and backend teams, implement REST APIs and Python backend scripts, integrate basic ML models into data workflows, and participate in the full SDLC within Agile teams while ensuring code quality and performance.