Summary:

We are currently seeking a Senior Platform Engineer, Logging 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.

This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days.

What your team does

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! We are looking for the right candidate to design and build our logging platform architecture from the ground up, and be a technical leader and advisor for security logging overall. If you have a strong data engineering background with a passion for security and experience building enterprise-scale logging platforms, then we want to talk to you.

What you’ll work on

• 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

What you bring

• 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

Nice to have:

• 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 you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days.

• Flexible time off policy, with an encouraged 20 days off per year.

• $2000 annual counseling benefit

• RRSP matching and RESP contribution

• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years​

The full salary range* for this role is $146,200 to $172,000 to $197,800 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

Disclaimer: We only communicate with candidates through official @clio.com email addresses.