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 Sitecore-based digital experiences for enterprise clients. The job description provides no specific responsibilities or qualifications beyond the Sitecore development focus.

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.

Lead mobile automation testing by designing, building, and maintaining automated test suites and frameworks for mobile apps. Define strategies and best practices, integrate tests with CI/CD, mentor junior engineers, analyze results and defects, and collaborate with product and development teams throughout sprints.

Designs, develops, and maintains automated testing frameworks and processes. Executes automated test cases, analyzes results, troubleshoots scripts, and reports findings. Collaborates with cross-functional and distributed teams, contributes to technical solutions, and supports Agile SDLC and STLC practices. Requires strong Java, Selenium, Cucumber, Serenity, API automation, CI/CD, and debugging skills, with preferred experience in AWS, Docker, EKS, databases, Kafka, Spring, and REST services.

Design and develop production-ready agentic AI systems using Python, LangChain, LangGraph, and Amazon Bedrock. Build super-agent and sub-agent architectures, tool-calling workflows, RAG solutions, REST API integrations, and scalable cloud services. Implement prompts, structured outputs, state management, validation, retries, fallbacks, and guardrails. Test and evaluate agent performance, and deploy solutions within AWS environments using software engineering best practices.

The job description provides very limited details. The role appears to support infrastructure and IT operations, but specific responsibilities, procedures, qualifications, tools, and technologies are not listed.

Lead the design, development, and optimization of enterprise AEM digital experiences. Build cloud-native AEM components, templates, services, headless content models, and omnichannel delivery solutions. Manage Cloud Manager CI/CD pipelines, repository synchronization, Dispatcher, CDN, reverse proxy, and load-balancing configurations. Integrate AEM with APIs, Adobe Experience Cloud, Adobe I/O, and DAM systems. Support multi-site architecture and establish AI-assisted development practices using tools such as GitHub Copilot.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Develop and maintain automated regression tests using Selenium and programming languages such as Java, JavaScript, or C#. Automate UI, API, mobile, and microservices testing; use frameworks and code-quality tools to improve software delivery. Report and track automation defects in JIRA, collaborate with business, development, QA, and monitoring teams, and contribute quickly in an agile environment. Candidates should communicate effectively, learn rapidly, and be available to join within two weeks.

Build scalable, backend-heavy APIs, microservices, and applications using Python frameworks such as Django, FastAPI, or Flask. Own the Angular and TypeScript UI layer, work with relational databases, implement automated testing and CI/CD, and address system design, security, and performance. Preferred work includes asynchronous Python, Celery, message queues, event-driven architectures, Redis, Elasticsearch, NoSQL, and mentoring engineers or leading technical initiatives.

Build and guide modern Java and Spring Boot services using microservices, distributed systems, APIs, Kafka, and event-driven architecture. Develop Angular interfaces with component-driven UI design and modern frontend tooling. Apply OpenAPI, OAuth2/JWT, and gateway patterns, while supporting cloud infrastructure, Kubernetes, containerization, observability, reliability engineering, incident response, and performance tuning. Blockchain knowledge is a plus.

Design, develop, test, release, maintain, and optimize scalable Vue.js web applications. Build responsive interfaces and reusable components using Vue 2/3, Composition API, and Options API. Collaborate with product, design, backend, and QA teams; define technical approaches; write unit and integration tests; troubleshoot performance across browsers and devices; follow Agile practices; and mentor junior developers.

Develop and deploy applications using Java Spring Boot and Python, databases and SQL, AWS cloud services, CI/CD pipelines, and automated testing. Collaborate within a small agile team, learn new technologies, and contribute strong analytical, communication, and organizational skills.

Lead DNS Network Engineer responsible for DNS engineering projects, IPAM management, DNS and DHCP troubleshooting, domain stability, incident and change management, automation, and issue ownership. The role requires expertise with Infoblox, BlueCat, Nokia QIP, F5 devices, BIND, Unix/Linux, Python, Ansible, routing, switching, and firewall concepts. The engineer will coordinate with internal teams, external vendors, audit teams, and global customers while escalating crisis situations and providing management updates.

Lead the architecture and development of scalable React microfrontend applications, focusing on performance, accessibility, SEO, Core Web Vitals, and responsive UI. Implement APIs, authentication, caching, monitoring, CI/CD, and cloud deployment patterns across frontend and backend layers. Collaborate with cross-functional teams, enforce engineering standards, conduct code reviews, mentor developers, and address technical debt and architectural gaps.