Senior Data Infrastructure Engineer

• About the Role:

  Cybereason is seeking a Senior Data Infrastructure Engineer to architect and scale the data backbone that powers our cutting-edge cybersecurity analytics. In this role, you’ll build distributed systems that process billions of security events daily, powering our platform with real-time and historical threat intelligence. You’ll work at the intersection of big data, cloud-native engineering, and cybersecurity, ensuring our infrastructure can support advanced analytics and machine learning at scale.

  Key Responsibilities:

  • Design and develop petabyte-scale data infrastructure and real-time streaming systems capable of processing billions of events daily
    
    
  • Build and optimize high-throughput, low-latency data pipelines for security telemetry
    
    
  • Architect distributed systems using cloud-native technologies and microservices patterns
    
    
  • Design and maintain data lakes, time-series databases, and analytical stores optimized for security use cases
    
    
  • Implement robust data governance, quality, and monitoring frameworks across all data flows
    
    
  • Continuously optimize for performance, scalability, and cost-efficiency in large-scale data workloads
    
    
  • Collaborate with data science and security teams to enable advanced analytics and ML capabilities
    
    
  • Ensure data infrastructure complies with strict security, availability, and compliance requirements
    
    

  Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field
    
    
  • 7+ years of experience building and maintaining large-scale data infrastructure
    
    
  • Proven experience operating petabyte-scale systems processing billions of records per day
    
    
  • Expert-level proficiency with stream processing: Apache Flink, Kafka, Pulsar, Redpanda, Kinesis
    
    
  • Deep experience with analytical and time-series databases: ClickHouse, Druid, InfluxDB, TimescaleDB
    
    
  • Familiarity with distributed storage: Hadoop (HDFS), Amazon S3, GCS, Azure Data Lake
    
    
  • Strong skills in: Rust, Go, Scala, Java, or Python for high-performance systems
    
    
  • Cloud expertise: AWS (EMR, Redshift, Kinesis), GCP (Dataflow, BigQuery, Pub/Sub), or Azure equivalents
    
    
  • Solid experience with Kubernetes, Docker, and Helm; familiar with service mesh like Istio or Linkerd
    
    
  • Strong grasp of data lake/lakehouse architectures and modern data stack tools
    
    

  Preferred Qualifications:

  • Experience with Apache Iceberg, Delta Lake, or Apache Hudi
    
    
  • Familiarity with Airflow, Prefect, or Dagster for orchestration
    
    
  • Knowledge of search platforms: Elasticsearch, OpenSearch, or Solr
    
    
  • Experience with NoSQL: Cassandra, ScyllaDB, or DynamoDB
    
    
  • Familiar with columnar formats: Parquet, ORC, Avro, Arrow
    
    
  • Experience with observability stacks: Prometheus, Grafana, Jaeger, OpenTelemetry
    
    
  • Familiar with Terraform, Pulumi, or CloudFormation for IaC
    
    
  • GitOps tools: ArgoCD, Flux for automated deployments
    
    
  • Exposure to data mesh, data governance, and metadata tooling (Apache Atlas, Ranger, DataHub)
    
    
  • Background in cybersecurity, SIEM, or security analytics platforms
    
    
  • Familiarity with ML infrastructure and MLOps best practices
    
    

  Technical Skills and Knowledge:

  • Stream Processing: Real-time analytics, windowing, state management, exactly-once semantics
    
    
  • Distributed Systems: Partitioning, consistency, HA, failover, load balancing
    
    
  • Data Lakes & Lakehouses: Multi-zone design, schema evolution, metadata management
    
    
  • Cloud-Native Patterns: Microservices, event-driven design, auto-scaling, regional failover
    
    
  • Performance Tuning: Query optimization, resource allocation, caching, compression
    
    
  • Governance: Lineage tracking, anomaly detection, quality controls, regulatory compliance
    
    
  • Security: Encryption, zero-trust principles, access control, audit logs
    
    
  • Observability: Metrics, logs, distributed tracing, alerting
    
    

  Key Competencies:

  • Proven track record of building and scaling high-volume, high-throughput data systems
    
    
  • Strong analytical and problem-solving skills in complex distributed environments
    
    
  • Excellent communication and collaboration across cross-functional teams
    
    
  • Self-driven with ability to manage multiple high-impact infrastructure initiatives
    
    
  • Passionate about data architecture and staying ahead of emerging tech
    
    
  • Experience mentoring engineers and shaping technical direction
    
    

  What We Offer:

  • Work on cutting-edge cybersecurity technology
    
    
  • Collaborative and innovative environment
    
    
  • Continuous learning opportunities
    
    
  • Competitive salary and benefits
    
    
  • Remote work options
  
  
  
  

More About Cybereason:

Our culture and how we operate reflects in our shared values. Our #Defenders are individuals with diverse skill sets and backgrounds who are driven to innovate and scale with our growing organization. We are a team that strives to learn from each other, solve challenging problems, and work collaboratively toward our goal of reversing the adversary advantage.

Core Values:

• Win As One: The power of an individual is less than the power of a team.
• Ever Evolving: Change keeps us at the forefront, so we encourage it.
• Daring: To achieve the impossible, we must dare to be different.
• Obsessed with Customers: We believe gaining our customers’ trust is the most important part of what we do.
• Never Give Up: We are tenacious and resilient, and we never stop.
• UbU: We believe people can only unlock their full potential when they work somewhere that accepts who they are.

If these values resonate with you and our vision excites you, join us today and help us end cyber attacks from the endpoint to everywhere! #Defenders

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Cybereason we are dedicated to building a diverse, inclusive, and authentic workplace (#uBu), so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.