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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - AI and Insights Platform - **Company:** NCR Voyix Corporation - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Software Applications, HTML5, Automation of Tests, Big Data, BigQuery, Cascading Style Sheets (CSS), Cloud Computing, Cloud Engineering, Cloud Storage, Software Quality, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Monitoring of Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Node.Js, NoSQL, Next.js, Software Engineering, SQL Databases, TypeScript, Web Applications, Enterprise Data Management, Data Processing, Google Cloud, Enterprise Software Applications, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Backend, Agentic-AI, Event Driven Architecture, Build Management, Data Lakes, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Google Cloud Functions, Data Management, Web Technologies, Machine Learning Operations, Front End Software Development, Data Lakehouse, Cloud Migration, Google Gemini, Restful APIs, Terraform, Data Pipelines, Docker, Jenkins, Databricks, Microservices - **Published:** October 12, 2026 - **Apply:** https://www.juju.com/job/1_ncr_workday-R0157738 ## About the Role Required Qualifications + Bachelor's or Master's degree in Computer Science, Engineering, or related field. + 10+ years of software development experience with enterprise applications. + 5+ years of cloud-native application development experience. + 3+ years of hands-on experience with Databricks and Spark ecosystem. + 3+ years of experience building AI/ML or Generative AI solutions. + Strong expertise in GCP architecture and services. + Strong full-stack development experience using modern web technologies. Technical Skills + Cloud: GCP, Kubernetes, Docker, Cloud Run, GKE, BigQuery, Vertex AI + Data Platforms: Databricks, Delta Lake, Apache Spark, SQL, Data Lakehouse Architecture + AI/ML: Generative AI, LLMs, RAG, Vector Databases, LangChain, LangGraph, AI Agents + Backend: Python, Java, Node.js, REST APIs, Microservices + Frontend: React, Next.js, TypeScript, JavaScript, HTML5, CSS + DevOps: GitHub Actions, Jenkins, Terraform, CI/CD, Infrastructure as Code + Databases: SQL Server, PostgreSQL, BigQuery, NoSQL Platforms Preferred Qualifications + Experience developing AI-powered enterprise applications. + Experience with retail, payments, commerce, or enterprise analytics platforms. + Knowledge of MLOps, Model Monitoring, AI Governance, and Observability. + GCP Professional Cloud Architect or Professional Machine Learning Engineer certification. + Databricks Certified Data Engineer or Architect certification. + Experience leading globally distributed engineering teams. + Experience with large-scale data modernization and cloud migration programs. Leadership Competencies + Strategic thinker with strong architectural vision. + Excellent communication and stakeholder management skills. + Ability to influence technical decisions across multiple teams. + Strong mentoring and team development capabilities. + Results-driven with a focus on innovation, quality, and operational excellence. ## Description Position Summary We are seeking a highly experienced Senior Principal Software Developer to lead the design, development, and delivery of next-generation AI-powered applications and enterprise data platforms. This role requires deep expertise in Google Cloud Platform (GCP), Databricks, Generative AI/AI Agents, and modern Full Stack Development. As a Principal Developer, you will provide technical leadership across architecture, engineering standards, cloud modernization, AI adoption, data platform integration, and application development. You will collaborate with product, data engineering, analytics, and business stakeholders to build scalable, secure, and high-performance solutions. Key ResponsibilitiesAI & Machine Learning Solutions + Design and build enterprise-grade AI and Generative AI solutions leveraging LLMs, AI Agents, RAG architectures, vector databases, and prompt engineering. + Develop intelligent applications using Google AI services, Vertex AI, Gemini, LangChain, LangGraph, and related AI frameworks. + Drive AI platform architecture, governance, observability, and responsible AI practices. + Implement scalable AI inference and model deployment pipelines. Full Stack Development + Lead development of cloud-native web applications and APIs. + Design and implement modern front-end solutions using React, Next.js, TypeScript, JavaScript, HTML5, and CSS. + Build scalable backend services using Java, Python, Node.js, or similar technologies. + Architect microservices and event-driven systems supporting enterprise-scale workloads. + Drive best practices in software craftsmanship, code quality, automated testing, and CI/CD. Data Platform & Databricks + Design and develop modern data architectures on Databricks Lakehouse platform. + Build scalable ETL/ELT pipelines using Databricks, Spark, Delta Lake, and SQL. + Optimize data processing performance, governance, lineage, and cost management. + Integrate AI workloads with Databricks Data Intelligence Platform. + Databricks Genie Google Cloud Platform (GCP) + Lead cloud architecture and implementation across GCP services. + Develop solutions using: + Vertex AI + BigQuery + Cloud Run + Cloud Functions + GKE (Google Kubernetes Engine) + Pub/Sub + Cloud Storage + Cloud SQL + IAM & Security Services + Establish cloud architecture standards, reliability, scalability, and security frameworks. Technical Leadership + Serve as a principal technical advisor and mentor to engineering teams. + Define architecture standards, development practices, and technology roadmaps. + Review solution designs and provide guidance on scalability, resiliency, and maintainability. + Partner with Product Management, Data Engineering, Analytics, and Architecture teams to deliver business outcomes. + Lead technical evaluations, POCs, and adoption of emerging AI and cloud technologies.