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Senior Member Technical Staff

Refined Labs·Salary not specified

Primary stack

PythonJavaNoSQLDynamoDBKafkaAWSMicroservices

Job description

About the Position

We are seeking a Senior Member Technical Staff to join our team at Nielsen. In this role, you will be responsible for architecting scalable systems, developing intelligent document processing pipelines, and integrating AI/ML technologies.

Responsibilities

  • Architect & Build Scalable Systems: Design, develop, and maintain robust data pipelines and microservices using Python.
  • Intelligent Document Processing: Develop document parsing and extraction pipelines (for PDFs, HTML, structured/unstructured data) that can reliably handle millions of documents.
  • AI/ML Integration: Implement and leverage technologies like LLMs (Large Language Models), Langgraph, AgenticAI, and Prompt Engineering to create advanced, AI-driven solutions.
  • Data Strategy: Leverage NoSQL (specifically DynamoDB) and other database technologies to optimize data storage and retrieval for high-scale applications.
  • Stream Processing: Implement and manage real-time data streaming solutions using Kafka to support event-driven and responsive architectures.
  • Cloud Infrastructure: Architect and deploy services within AWS, ensuring best practices in security, scalability, and cost-optimization.
  • Code Excellence & Collaboration: Write clean, maintainable, and highly efficient code, lead rigorous code reviews, and actively collaborate with the team on system design and technical decision-making.
  • System Optimization: Troubleshoot complex distributed systems issues and optimize performance across the entire tech stack.
  • Mentorship: Act as a technical pillar for the team, mentoring junior engineers and fostering a culture of rapid experimentation and "failing fast" (and learning faster).

Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Experience: 7 to 10 years of professional software development experience, specifically within a product-based company where you have navigated rapid scaling.
  • Core Tech:
    • Expert-level proficiency in Python and Java.
    • Document parsing experience-extracting structured data from PDFs, HTML, XML, or other unstructured formats.
    • Deep hands-on experience with NoSQL databases (specifically DynamoDB) and a solid understanding of data modeling for performance.
    • Proven experience with Kafka or similar message brokers for building event-driven systems.
    • Strong experience with AWS services (Lambda, EC2, S3, RDS, etc.) and building cloud-native applications.
    • Experience with K8s and advanced Infrastructure as Code tools such as CDK, Terraform, or CloudFormation.
    • Familiarity with building and maintaining Data Pipelines (ETL/ELT processes) and handling large-scale datasets.
    • Strong understanding of Microservices, RESTful APIs, and distributed systems design.
  • Mindset & Communication: A proactive, "owner" mindset with the ability to thrive in an ambiguous, fast-paced environment, and excellent communication skills.

We Offer

  • Competitive salary
  • Opportunity to work in a dynamic and innovative environment
  • Professional growth and development opportunities

About the Company

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Additional Information

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

© Refined Labs. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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