Who you are

• Proven Senior-level expertise building enterprise-scale logging and data ingestion systems, typically gained over 5+ years of relevant experience
• Data architecture experience designing data lakes, lake houses, and multi-tier storage architectures for log data
• ELK stack mastery including Elasticsearch cluster design, Logstash pipeline optimization, and Kibana customization
• Streaming data expertise with Apache Kafka, Amazon Kinesis, AWS Glue, Azure Event Hubs, or similar real-time ingestion platforms
• Cloud storage architecture experience with AWS S3, Azure Data Lake, GCS, and intelligent data tiering strategies
• Performance optimization skills for high-volume data ingestion, indexing strategies, and query optimization
• Infrastructure as Code proficiency with Terraform, CloudFormation, or similar for logging infrastructure automation
• Data pipeline engineering experience with Apache Spark, Flink, or cloud-native data processing services
• API and integration design for enabling secure access to log data across multiple consumer applications
• Monitoring and observability expertise for logging platform health, performance metrics, and capacity planning
• Demonstrate a keen interest in improving your craft by using AI
• Security-focused logging experience with SIEM integration, security data lakes, and compliance-driven data retention
• Multi-cloud logging architecture designing consistent logging platforms across AWS, Azure, and GCP
• Open source contributions to Elasticsearch, Logstash, Apache Kafka, or other logging ecosystem projects
• Data governance expertise implementing data classification, privacy controls, and regulatory compliance for log data
• Advanced analytics platforms experience with Splunk Enterprise, Sumo Logic, or other enterprise logging platforms
• Container and Kubernetes logging architecture for cloud-native application log collection and processing
• Cost optimization expertise for large-scale data storage, implementing intelligent archiving and data lifecycle policies
• Technical leadership experience mentoring teams, setting architectural standards, and driving technical strategy
• Programming proficiency in Python, Go, Java, or Scala for custom logging pipeline development and automation

What the job involves

• We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help establish our new Logging Engineering team. This role is for someone passionate about building scalable logging architectures, designing robust data pipelines, and driving security-focused logging automation at scale
• You will lead the technical architecture for our logging infrastructure while making a tangible impact on our security observability
• Are you someone who's always probing and asking why, someone who enjoys architecting elegant solutions to complex data pipeline challenges? If so, we have a spot for you on Clio's new Logging Engineering team!
• Design and architect scalable logging infrastructure including data lakes, security lakes, and multi-tier storage strategies
• Build and optimize high-throughput log ingestion pipelines using streaming technologies and cloud-native services
• Architect ELK stack deployments, OpenSearch clusters, and hybrid cloud/on-premises logging solutions
• Design data retention, lifecycle management, and cost optimization strategies for petabyte-scale log storage
• Partner with the security team lead to develop the logging platform roadmap and technical vision
• Build Infrastructure as Code for logging infrastructure provisioning, scaling, and disaster recovery
• Optimize query performance across multiple data stores and implement efficient data partitioning strategies
• Design API and integration layers for log data access, enabling self-service analytics and detection engineering
• Lead capacity planning, performance tuning, and architectural decisions for the logging platform
• Mentor engineering team members on logging best practices, data architecture, and platform operations

Benefits

• Company equity
• 401k
• $500 contribution when you become a parent and/or guardian
• RRSP-matching
• Pension plans
• 4-week minimum vacation
• Work from home when you need to (role-specific)
• Parental leave options for moms and dads
• Customizable extended health benefits (including $2000 per year to spend on counseling)
• Wellness programs including an onsite naturopath physiotherapist, and RMT (location-dependent), healthy snacks, and exercise classes