Staff Software Engineer
About the Role
Proofpoint is seeking a seasoned professional to join our team, focusing on building and scaling a big data platform that processes billions of data points daily. This role involves designing resilient systems, developing RESTful APIs, and establishing standards for scalability, fault tolerance, and performance optimization. The ideal candidate will have a strong background in distributed systems, backend architecture, and cloud technologies, with a passion for leveraging AI-powered tools to accelerate development.
Responsibilities
- Build and scale a big data platform processing billions of data points daily
- Design resilient systems across synchronous and asynchronous (event-driven, streaming) paradigms
- Develop RESTful APIs in a microservices architecture
- Establish standards for scalability, fault tolerance, and performance optimization
- Drive design decisions across streaming, processing, and storage layers for performance and cost efficiency
- Support time-series, event-driven, and analytical workloads
- Work with distributed messaging systems, scalable data stores (DynamoDB, Elasticsearch, etc.), and processing frameworks (Flink, Spark)
- Ensure alignment with security, compliance, and data governance requirements
- Champion AI-powered tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate development velocity across design, coding, testing, and review
Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent
- 10+ years in distributed systems and backend architecture
- Knowledge of CAP theorem, consistency models, partitioning, replication, and sharding strategies
- Experience with streaming/messaging systems (Kinesis) and real-time/batch processing frameworks (Flink, Spark, Beam)
- Proficiency in one or more of NodeJs, Go, Java, Scala, or Rust; familiarity with Python, or C/C++ a plus
- Experience with NoSQL and SQL databases (Postgres, Cassandra, MongoDB, Redis, DynamoDB, etc.)
- Experience with graph databases (Neptune, Neo4J, etc.)
- Cloud experience (AWS, GCP, Azure, or similar)
- Familiarity with edge-to-cloud and multi-cloud/hybrid environments
- Exposure to AI/ML data pipelines, large-scale analytics platforms, and AI-assisted developer tooling
- Knowledge of enterprise security frameworks and compliance standards (SOC2, ISO, GDPR) is a plus
Why Proofpoint?
At Proofpoint, we offer a comprehensive compensation and benefits package, including competitive pay, flexible work environment, and opportunities for career growth. Our culture is rooted in values that inspire belonging, empower purpose, and drive success. We encourage applications from individuals of all backgrounds and provide accommodations during the application process if needed.
Pay
Base pay ranges vary by geographic location:
- SF Bay Area, New York City Metro Area: $200,300.00 - $293,810.00 USD
- California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska: $167,300.00 - $245,355.00 USD
- All other cities and states: $152,900.00 - $224,235.00 USD
Pay within these ranges varies based on job-related knowledge, skills, and experience. This role may also be eligible for variable compensation and/or equity.
Benefits
- Comprehensive benefits package
- Flexible time off
- Annual wellness and community outreach days
- Always-on recognition for contributions
- Global collaboration and networking opportunities