Principal Software Engineer

What You’ll Be Doing

Design, build, and operate highly scalable and flexible systems that can manage and process billions of match requests a day

Extend and adapt this architecture to meet customer matching needs and infrastructure context

Leverage cloud computing architectures to support development needs

Track and identify relevant new technologies in the market and push their implementation into our matching applications through research and prototyping

Develop processes and tools to monitor, analyze, maintain, and improve data operation, performance, and usability

Partner closely with Engineering Leaders, Architects, and Product Managers to understand business requirements and provide technical solutions within a larger roadmap

Work closely with Data Engineers, Data Analysts, Data Scientists, and Domain Experts to understand their needs for supporting a broader entity resolution framework

Evangelize and educate about new solutions. Work across the company to apply data processing patterns

Why You’ll Love Working Here

Solve interesting and challenging problems alongside a great team of engineers

Develop new skills as you push your knowledge, and our technology, to new levels

Work for a profitable, growing company with an impressive Fortune 500 client list

What You Will Bring

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience

10+ years of Software Engineering experience in data platform/big data software, with a proven track record of delivering highly scalable and efficient solutions

Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo

Deep technical understanding of software engineering and working with data at scale

Experience in system architecture and design

Familiarity using CI/CD pipelines with Jenkins, GitHub Actions, or similar tools

Experience with SQL languages in a big data context, particularly performance optimization

Experience with Kubernetes using GKE/EKS