Jobs at Photon

Design, build, optimize, and maintain high-performance Spark-based data pipelines using Scala/Java and Hive on Hadoop/CDP. Own full project lifecycle, enforce coding best practices, troubleshoot Spark/Hive/YARN performance, and collaborate with stakeholders to deliver scalable data solutions.

Develop and lead large-scale Python-based AI projects. Design, implement, and maintain systems using AI frameworks and relational databases (MySQL/PostgreSQL). Collaborate cross-functionally, solve complex problems, and work independently within a team-oriented environment.

Hands-on full-stack role to implement and maintain web-based internal systems. Work with team and vendors to design solutions using modern web technologies, contribute across SDLC from user stories through coding, testing and deployment.

Design, implement and maintain high-volume online and offline batch and transactional data applications using Java and Spark. Build scalable data stores, write scripts, call APIs, and author complex SQL. Maintain code and database infrastructure, ensure data integrity, perform data cleaning, visualization and reporting, and support model training in an agile environment.

Hands-on role to design, implement and maintain web-based internal applications using object-oriented PHP with strong emphasis on automation testing. Contribute across the SDLC, collaborate with internal teams and external vendors, and work with PHP frameworks, web technologies, scripting, databases and Agile practices.

Lead and execute QA for data and reporting projects, validating data from source through Snowflake to Power BI. Design and run manual test scripts, track results, communicate issues to engineers, and drive quality initiatives. Support test strategy and documentation; automated testing experience is a plus.

Develop and maintain responsive React and TypeScript web applications, translate UI/UX designs into code, implement features with cross-browser compatibility, write unit/integration/e2e tests, troubleshoot frontend issues, collaborate with product/design/backend teams, and uphold coding standards and accessibility.

Senior full‑stack developer role building front-end (Angular, TypeScript, HTML5/CSS3) and back-end services (Java 11/17, Spring Boot, Node.js, REST APIs, MongoDB). Work with microservices, Kafka, CI/CD (Jenkins/GitHub Actions/Azure DevOps), containers (Docker, Kubernetes), and cloud (AWS). Prefer candidates with financial services or investment management domain experience and test automation/GenAI tooling familiarity.

Senior full‑stack developer responsible for designing, building, testing, and maintaining .NET/React web applications. Work with legacy systems, web services, relational databases, CI/CD and containers. Mentor engineers, participate in Agile ceremonies, code reviews, refactoring, deployments, and collaborate with product and design to deliver high-quality financial-domain software.

Design and develop Java/Spring Boot applications on AWS (serverless and EKS), build REST APIs, work on high‑transaction fault‑tolerant systems, author CI/CD pipelines, reverse engineer legacy mainframe platforms, manage risks and stakeholders, mentor junior staff, and drive product improvements.

Design, implement, and support Customer Data Platform (CDP) solutions and integrations using Snowflake and cloud-native AWS services. Build data models, SQL transformations, identity resolution, audience management, and activation across channels. Collaborate with marketing, business, and technical stakeholders to deliver scalable, secure, high-performance customer data pipelines and campaign activations.

Design, build, and operate AEM (Cloud Service) solutions: develop Sling/HTL components, implement dispatcher and caching strategies, model content/JCR structures, enable headless REST APIs, and deliver Java backend services (OSGi, servlets) with logging and automated tests.

Senior Big Data engineer role requiring design and development of scalable data pipelines and ETL using Spark and Scala/Python on AWS EMR, with experience integrating Oracle databases and working in Unix environments.

Design, develop, test, and deploy scalable web applications using Java Spring Boot and Angular. Build RESTful APIs and microservices, implement event-driven Kafka solutions, contribute to CI/CD and DevOps, troubleshoot production issues, and write automated tests.

Develop and maintain backend services and RESTful APIs using Core Java and Spring Boot. Work with PostgreSQL, AWS, CI/CD pipelines (Git, Jenkins), write unit tests (JUnit), apply design patterns and secure coding, participate in code reviews, and collaborate with the team to deliver features.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.

Senior Front End Engineer responsible for building Angular/TypeScript front-end features, Node.js/Express backend components, and automated tests (unit and E2E). Work with CI/CD, containerization, cloud, and financial-services domain teams to deliver stories independently and collaborate across teams to ensure quality and deployment readiness.

Design, build, test, and deploy scalable full-stack applications with emphasis on Java backend services and modern front-end frameworks. Implement cloud-native microservices, REST APIs, containerization, CI/CD pipelines, and support production performance, security, and observability in an Agile environment.

Senior Java developer to design and build microservices and event-driven systems using Java, Spring Boot and Kafka. Implement CI/CD (Jenkins, uDeploy), apply design and architecture principles, and use JavaScript/AngularJS on the front end. Test-driven development is a plus.

Senior-level developer/DevOps role building Python/Flask applications, deploying on AWS using Docker and Kubernetes (EKS preferred), and implementing CI/CD with Jenkins. AI knowledge and automation experience are nice-to-haves.