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# Python Developer

- **Company:** NewPage Digital Healthcare Solutions
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adobe Experience Manager, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Confluence, Unit Testing, Microsoft Azure, Software Quality, Code Review, Information Systems, Information Engineering, Extract Transform Load (ETL), Data Transformation, Software Debugging, Digital Assets, Python (Programming Language), Scrum Methodology, Software Tools, Tensorflow, Software Engineering, Systems Integration, Scripting, Google Cloud, GitHub Copilot, Delivery Pipeline, Large Language Models, Prompt Engineering, Git, Pandas, Adobe, Containerization, Pyspark, Kubernetes, Information Technology, Adobe Workfront, HuggingFace, Restful APIs, VeevaVault, Software Version Control, Api Management, GXP, Docker, Microservices
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e408e8968c4aede3

## About the Role

* Python Proficiency - Expert-level Python development: clean, maintainable, well-tested code across scripts, APIs, and automation pipelines
 * AI Tool Fluency - Power user of Claude (Anthropic) and GitHub Copilot; uses these tools to accelerate development, debug faster, and augment code quality
 * Prompt Engineering - Ability to craft, iterate, and optimize prompts for LLM-based tools to solve real delivery and automation problems
 * Problem Solving - Breaks down ambiguous, complex technical challenges into pragmatic, phased solutions; comfortable working without a fully defined spec
 * Technology Learner - Actively seeks to upskill on emerging technologies, frameworks, and AI capabilities
 * Collaboration & Communication - Communicates clearly with non-technical stakeholders; works effectively in Agile cross-functional teams across time zones
 * Nearshore Delivery Mindset - Experienced in remote/nearshore team dynamics; reliable, proactive communicator with strong async collaboration habits, * 4-7 years of professional Python development experience in enterprise or MarTech environments
 * Demonstrated experience using Claude (Anthropic) or equivalent LLM tools and GitHub Copilot as active development aids
 * Practical prompt engineering skills: ability to craft, iterate, and optimize prompts for real automation and coding tasks
 * Strong experience with REST API integration and working with third-party platform SDKs
 * Proficiency with Git, version control workflows, and collaborative development practices
 * Experience working in Agile/Scrum delivery teams with cross-functional stakeholders
 * Solid problem-solving capability - comfortable with under-defined requirements and iterative discovery
 * Strong async communication skills; experience in nearshore/remote delivery model
 * Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience, * Experience with MarTech platforms: Veeva Vault, Adobe AEM, Workfront, or DAM/PIM systems
 * Familiarity with content supply chain, content operations, or omnichannel marketing technology
 * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
 * Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworks
 * Exposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use cases
 * Experience in pharmaceutical, life sciences, or highly regulated industry environments
 * Familiarity with validated system environments (GxP, 21 CFR Part 11) is a plus
 * Proficiency in English (written and verbal) at a professional working level for EST-timezone collaboration

## Description

We are looking for a Mid-Senior Python Developer to join our Content Supply Chain Platforms team delivery team and contribute directly to the automation, integration, and AI-augmented tooling that underpins our content supply chain. This is not a traditional software engineering role - we are looking for someone who is highly adaptable, curious about new technologies, and skilled at using AI tools like Claude and GitHub Copilot as genuine force multipliers. You will work alongside MarTech delivery leads and platform architects to build, extend, and maintain Python-based solutions that connect content platforms, automate workflows, and support AI-driven content operations. The ideal candidate is a problem solver at heart, a prompt engineer by practice, and a fast learner who actively embraces change., * Build, maintain, and extend Python scripts, microservices, and automation pipelines supporting content supply chain workflows

 * Develop integrations between MarTech platforms (e.g., Veeva Vault, AEM, Workfront, DAM systems) using REST APIs and SDKs
 * Write clean, documented, reusable code with appropriate unit testing and version control (Git)
 * Optimize existing scripts and workflows for performance, reliability, and scalability
 * Participate in code reviews and contribute to team coding standards and best practices

 2. AI-Augmented Development (Claude & GitHub Copilot)
 * Actively leverage Claude (Anthropic) and GitHub Copilot as core development tools - using them to accelerate coding, generate boilerplate, debug, and explore solutions
 * Design and engineer prompts for LLM-based tools to solve specific content supply chain automation and delivery challenges
 * Explore and prototype AI-assisted workflows that reduce manual effort in content operations
 * Stay current on new AI development tools, APIs, and capabilities; evaluate and recommend adoption of relevant new tooling
 * Document and share prompt engineering patterns and AI tool best practices with the broader delivery team

 3. Platform Integration & Data Engineering
 * Build and maintain API integrations with enterprise MarTech platforms including content management, project management, and digital asset systems
 * Develop data transformation and ETL processes to support reporting, analytics, and workflow automation
 * Troubleshoot and resolve integration failures, data quality issues, and pipeline errors
 * Work with architects to design scalable integration patterns and maintain technical documentation

 4. Agile Delivery & Collaboration
 * Actively participate in Agile ceremonies: sprint planning, stand-ups, refinement, reviews, and retrospectives
 * Collaborate closely with BAs, QA, and platform engineers to deliver sprint commitments
 * Proactively communicate progress, blockers, and risks to delivery leads
 * Support UAT and production validation of developed solutions
 * Contribute to effort estimation and sprint capacity planning

 5. Problem Solving & Continuous Improvement
 * Take ownership of ambiguous technical challenges - decompose problems, propose options, and drive to resolution
 * Proactively identify inefficiencies in existing workflows and propose automation or tooling improvements
 * Contribute to team knowledge by documenting solutions, patterns, and lessons learned in Confluence or equivalent
 * Mentor junior developers and contribute to a culture of technical excellence and continuous learning


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