Senior Backend Software Engineer, SpyCloud

• This role is for someone who cares about performance, reliability, and designing systems that can handle large volumes of data without falling over
• 7+ years of professional software engineering experience with a strong backend focus
• Experience building and running production systems at scale
• Strong experience in Python, Go, or Java. Experience in more than one is a plus
• Solid understanding of API design, distributed systems, and service-oriented architectures
• Experience working with large datasets and high throughput systems
• Experience with one or more of the following databases:
• PostgreSQL
• DynamoDB
• Elasticsearch
• Redis
• MongoDB
• Familiarity with AWS and cloud-based architectures
• Experience working with or alongside data platforms such as Databricks or Spark
• Experience with API gateways, load balancing, and traffic management
• Comfortable with performance profiling, load testing, and capacity planning
• Able to debug and resolve bottlenecks across services, databases, and infrastructure
• Comfortable operating with incomplete or evolving product requirements
• Able to make good tradeoffs when there is no perfect answer
• Communicates clearly with engineers, data teams, and product partners
• Takes ownership and cares about long-term maintainability

Desirable

• We’re looking for a Senior Software Engineer to help us build and operate backend systems that run at serious scale
• You’ll be working with tens of billions of records, including dark web intelligence, to help protect organizations from stolen credentials, malware, and compromised devices
• The systems you build will be core to our platform and used every day by security teams that depend on speed, accuracy, and reliability
• Building and maintaining high performance APIs and backend services used at scale
• Designing background services and data processing workflows that operate over very large datasets
• Working closely with data engineers and data scientists who are building our platform on AWS and Databricks
• Making practical architecture decisions around performance, cost, and reliability
• Profiling and tuning systems to improve throughput, latency, and overall stability
• Helping shape and evolve API standards and best practices across the platform
• Using modern, AI-forward development tools to move faster and write better software