Job description
- ### 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
#LI-Remote
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.
