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
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.
Base Pay Ranges:
SF Bay Area, New York City Metro Area:
Base Pay Range: 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:
Base Pay Range: 167,300.00 - 245,355.00 USD
All other cities and states excluding those listed above:
Base Pay Range: 152,900.00 - 224,235.00 USD
