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# Java Developer

- **Company:** TekWissen LLC
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $135,658.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Code Review, Information Engineering, Software Design Patterns, Distributed Systems, Apache Hadoop, Python (Programming Language), Systems Development Life Cycle, Software Engineering, TypeScript, Large Language Models, Multi-Agent Systems, Apache Spark, Agentic-AI, Information Technology, Performance Monitor, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-2865B003A76EA2DF1D/

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
 * 3+ years of non-internship professional software development experience
 * 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 * 2+ years of experience with big data technologies such as AWS, Spark, or Hadoop

Required:

 * Java/Python, AWS services (Step Functions, S3, Redshift, Lambda, EMR), distributed systems, and data pipeline development.

Preferred:

 * Experience with AI-native systems development, agentic frameworks (using Bedrock), ad-tech platforms, campaign management systems, AWS Cleanrooms, TypeScript

## Description

* The PV Personalization & Discovery Growth team builds scalable marketing technology systems that power paid media campaigns across digital and social channels.
 * Your solutions will directly impact customer acquisition, content discovery, and subscriber growth at global scale.
 * Primary responsibilities span the full campaign lifecycle: building AI-powered automation for campaign creation and scheduling using agentic frameworks and LLMs, developing integrations with ad-tech platforms for campaign activation and delivery, designing data pipelines for Real Time measurement and attribution, constructing campaign management tools and workflows for optimization and iteration, and developing multi-agent systems and AI co-pilots that accelerate the entire flywheel from campaign ideation through performance reporting.
 * You will collaborate with Applied Scientists on ML-powered features including audience optimization and incrementality measurement, build monitoring and alerting infrastructure ensuring high-availability of marketing operations, and contribute to system design and code reviews that raise the engineering bar.
 * The ideal candidate has a strong computer science foundation with experience in distributed systems, data engineering, and marketing technology or ad-tech platforms.
 * They must be detail oriented, have strong written communication skills, ability to work independently, and can deliver results in a fast-paced environment.