Senior Software Engineer
Build and scale high-throughput Java backend systems that resolve fragmented data into accurate contact profiles across a 400-million-record platform. The role requires senior software engineering experience with distributed systems, large-scale data processing, and event streaming.
About the job
Responsibilities
- Build, enhance, and optimize high-throughput backend services and data-processing systems using Java.
- Process and transform large volumes of fragmented data into accurate contact entities.
- Design scalable solutions for entity resolution, attribute selection, and contact publication.
- Improve employment accuracy by identifying stale jobs and determining when contacts are no longer associated with a company.
- Improve grouping of data fragments into individual contact profiles.
- Develop rules, testing frameworks, and scalable approaches to infer data quality.
- Work with systems supporting approximately 400 million contact profiles.
- Collaborate with data scientists and data engineering teams on data quality, profiling, entity resolution, and cross-functional solutions.
- Contribute to technical strategy, architecture, code quality, performance, and scalability.
- Participate in sprint planning and independently select work.
Requirements
- Significant professional software engineering experience building backend systems.
- Deep expertise in Java and strong software engineering fundamentals.
- Experience designing, building, and scaling high-throughput or distributed systems.
- Experience with large-scale data-processing pipelines and big data systems.
- Experience with Kafka or similar event-streaming technologies.
- Ability to write efficient, reliable, maintainable, and well-tested code.
- Experience improving existing production systems, including complex or legacy codebases.
- Strong problem-solving, collaboration, and communication skills.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Nice to Have
- GCP or GCS experience.
- BigQuery experience.
- Solr or Elasticsearch experience.
- Familiarity with entity resolution, match-merge systems, record linkage, or data deduplication.
- Experience with employment, professional, CRM, or contact-related data.
- Experience with lossy, incomplete, or fragmented datasets.
- Experience partnering with data science teams to integrate analytical or machine learning initiatives into production workflows.
- Experience in ad tech, CRM, marketing technology, or another high-volume, data-driven environment.
Compensation
- Base salary: $140,000–$220,000 USD annually.
- Additional compensation such as bonus, commission, equity, and benefits may apply.
Skills
Java, Kafka, Distributed Systems, Data Processing, Big Data, GCP, Google Cloud Storage, BigQuery, Solr, Elasticsearch, Entity Resolution, Data Deduplication, Machine Learning
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